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    AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
    Keim, D. & Kriegel, H. Visualization techniques for mining large databases : A comparison 1996 IEEE Transactions on Knowledge and Data Engineering
    Vol. 8(6), pp. 923-938 
    article  
    BibTeX:
    @article{Keim96,
      author = {Keim, D. and Kriegel, H.},
      title = {Visualization techniques for mining large databases : A comparison},
      journal = {IEEE Transactions on Knowledge and Data Engineering},
      publisher = {IEEE Computer Society Press},
      year = {1996},
      volume = {8},
      number = {6},
      pages = {923--938}
    }
    
    Stumme, G. Using Ontologies and Formal Concept Analysis for Organizing Business Knowledge 2002 Wissensmanagement mit Referenzmodellen -- Konzepte für die Anwendungssystem- und Organisationsgestaltung, pp. 163-174  incollection URL 
    BibTeX:
    @incollection{stumme02using,
      author = {Stumme, G.},
      title = {Using Ontologies and Formal Concept Analysis for Organizing Business Knowledge},
      booktitle = {Wissensmanagement mit Referenzmodellen -- Konzepte für die Anwendungssystem- und Organisationsgestaltung},
      publisher = {Physica},
      year = {2002},
      pages = {163-174},
      url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2001/REFMOD01.ps}
    }
    
    Habermas, J. Theorie des kommunikativen Handelns 1981   book  
    BibTeX:
    @book{habermas81theorie,
      author = {Habermas, J�rgen},
      title = {Theorie des kommunikativen Handelns},
      publisher = {Suhrkamp},
      year = {1981}
    }
    
    Golder, S. & Huberman, B.A. The Structure of Collaborative Tagging Systems 2005   techreport URL 
    BibTeX:
    @techreport{GH05structure,
      author = {Golder, Scott and Huberman, Bernardo A.},
      title = {The Structure of Collaborative Tagging Systems},
      year = {2005},
      url = {http://arxiv.org/abs/cs.DL/0508082}
    }
    
    Tane, J., Schmitz, C., Stumme, G., Staab, S. & Studer, R. The Courseware Watchdog: an Ontology-based tool for finding and organizing learning material 2003 Mobiles Lernen und Forschen - Beiträge der Fachtagung an der Universität, pp. 93-104  inproceedings URL 
    Abstract: Topics in education are changing with an ever faster pace. E-Learning
    sources tend to be more and more decentralised. Users need increasingly to be able to
    e the resources of the web. For this, they should have tools for finding and organizing
    formation in a decentral way. In this, paper, we show how an ontology-based tool
    ite allows to make the most of the resources available on the web.
    BibTeX:
    @inproceedings{tane03courseware,
      author = {Tane, Julien and Schmitz, Christoph and Stumme, Gerd and Staab, Steffen and Studer, R.},
      title = {The Courseware Watchdog:  an Ontology-based tool for finding and organizing
    
    learning material}, booktitle = {Mobiles Lernen und Forschen - Beiträge der Fachtagung an der Universität}, publisher = {Kassel University Press}, year = {2003}, pages = {93-104}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/tane2003courseware.pdf} }
    Poelmans, J., Ignatov, D., Viaene, S., Dedene, G. & Kuznetsov, S. Text Mining Scientific Papers: A Survey on FCA-Based Information Retrieval Research 2012
    Vol. 7377Advances in Data Mining. Applications and Theoretical Aspects, pp. 273-287 
    incollection DOI URL 
    Abstract: Formal Concept Analysis (FCA) is an unsupervised clustering technique and many scientific papers are devoted to applying FCA in Information Retrieval (IR) research. We collected 103 papers published between 2003-2009 which mention FCA and information retrieval in the abstract, title or keywords. Using a prototype of our FCA-based toolset CORDIET, we converted the pdf-files containing the papers to plain text, indexed them with Lucene using a thesaurus containing terms related to FCA research and then created the concept lattice shown in this paper. We visualized, analyzed and explored the literature with concept lattices and discovered multiple interesting research streams in IR of which we give an extensive overview. The core contributions of this paper are the innovative application of FCA to the text mining of scientific papers and the survey of the FCA-based IR research.
    BibTeX:
    @incollection{noKey,
      author = {Poelmans, Jonas and Ignatov, DmitryI. and Viaene, Stijn and Dedene, Guido and Kuznetsov, SergeiO.},
      title = {Text Mining Scientific Papers: A Survey on FCA-Based Information Retrieval Research},
      booktitle = {Advances in Data Mining. Applications and Theoretical Aspects},
      publisher = {Springer Berlin Heidelberg},
      year = {2012},
      volume = {7377},
      pages = {273-287},
      url = {http://dx.doi.org/10.1007/978-3-642-31488-9_22},
      doi = {http://dx.doi.org/10.1007/978-3-642-31488-9_22}
    }
    
    Hotho, A., Staab, S. & Stumme, G. Text Clustering Based on Background Knowledge 2003
    Vol. 425 
    techreport URL 
    Abstract: Text document clustering plays an important role in providing intuitive
    vigation and browsing mechanisms by organizing large amounts of information
    to a small number of meaningful clusters. Standard partitional or agglomerative
    ustering methods efficiently compute results to this end.
    wever, the bag of words representation used for these clustering methods is often
    satisfactory as it ignores relationships between important terms that do not
    -occur literally. Also, it is mostly left to the user to find out why a particular partitioning
    s been achieved, because it is only specified extensionally. In order to
    al with the two problems, we integrate background knowledge into the process of
    ustering text documents.
    rst, we preprocess the texts, enriching their representations by background knowledge
    ovided in a core ontology — in our application Wordnet. Then, we cluster
    e documents by a partitional algorithm. Our experimental evaluation on Reuters
    wsfeeds compares clustering results with pre-categorizations of news. In the experiments,
    provements of results by background knowledge compared to the baseline
    n be shown for many interesting tasks.
    cond, the clustering partitions the large number of documents to a relatively small
    mber of clusters, which may then be analyzed by conceptual clustering. In our approach,
    applied Formal Concept Analysis. Conceptual clustering techniques are
    own to be too slow for directly clustering several hundreds of documents, but they
    ve an intensional account of cluster results. They allow for a concise description
    commonalities and distinctions of different clusters. With background knowledge
    ey even find abstractions like “food” (vs. specializations like “beef” or “corn”).
    us, in our approach, partitional clustering reduces first the size of the problem
    ch that it becomes tractable for conceptual clustering, which then facilitates the
    derstanding of the results.
    BibTeX:
    @techreport{hotho03textclustering,
      author = {Hotho, Andreas and Staab, Steffen and Stumme, Gerd},
      title = {Text Clustering Based on Background Knowledge},
      year = {2003},
      volume = {425},
      url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/hotho2003text.pdf}
    }
    
    Houtsma, M. & Swami, A. Set-oriented mining for association rules in relational databases 1995 Proceedings of the 11th International Conference on Data Engineering
    (ICDE'95), pp. 25-33 
    inproceedings  
    BibTeX:
    @inproceedings{Houtsma95,
      author = {Houtsma, M. and Swami, A.},
      title = {Set-oriented mining for association rules in relational databases},
      booktitle = {Proceedings of the 11th International Conference on Data Engineering
    
    (ICDE'95)}, publisher = {IEEE Computer Society Press}, year = {1995}, pages = {25--33} }
    Tane, J., Schmitz, C. & Stumme, G. Semantic resource management for the web: an e-learning application 2004 Proc. 13th International World Wide Web Conference (WWW 2004), pp. 1-10  inproceedings URL 
    BibTeX:
    @inproceedings{tane04semantic,
      author = {Tane, Julien and Schmitz, Christoph and Stumme, Gerd},
      title = {Semantic resource management for the web: an e-learning application},
      booktitle = {Proc. 13th International World Wide Web Conference (WWW 2004)},
      year = {2004},
      pages = {1-10},
      url = {http://www.www2004.org/proceedings/docs/2p1.pdf}
    }
    
    Hereth, J. & Stumme, G. Reverse Pivoting in Conceptual Information Systems. 2001
    Vol. 2120Conceptual Structures: Broadening the Base. , pp. 202-215 
    inproceedings URL 
    BibTeX:
    @inproceedings{hereth01reverse,
      author = {Hereth, J. and Stumme, G.},
      title = {Reverse Pivoting in Conceptual Information Systems.},
      booktitle = {Conceptual Structures: Broadening the Base. },
      publisher = {Springer},
      year = {2001},
      volume = {2120},
      pages = {202-215},
      url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2001/ICCS01.pdf}
    }
    
    Hereth, J. & Stumme, G. Reverse Pivoting in Conceptual Information Systems 2001
    Vol. 2120Conceptual Structures: Broadening the Base, pp. 202-215 
    inproceedings  
    BibTeX:
    @inproceedings{HerethStumme01Reverse,
      author = {Hereth, J. and Stumme, G.},
      title = {Reverse Pivoting in Conceptual Information Systems},
      booktitle = {Conceptual Structures: Broadening the Base},
      publisher = {Springer},
      year = {2001},
      volume = {2120},
      pages = {202-215}
    }
    
    Hereth, J. Relational Scaling and Databases 2002
    Vol. 2393Conceptual Structures: Integration and Interfaces, 10th International
    Conference on Conceptual Structures, ICCS 2002, Borovets, Bulgaria,
    July 15-19, 2002, Proceedings, pp. 62-76 
    inproceedings  
    BibTeX:
    @inproceedings{Hereth02Relational,
      author = {Hereth, J.},
      title = {Relational Scaling and Databases},
      booktitle = {Conceptual Structures: Integration and Interfaces, 10th International
    
    Conference on Conceptual Structures, ICCS 2002, Borovets, Bulgaria,
    July 15-19, 2002, Proceedings}, publisher = {Springer}, year = {2002}, volume = {2393}, pages = {62-76} }
    Doerfel, S., Jäschke, R. & Stumme, G. Publication Analysis of the Formal Concept Analysis Community 2012
    Vol. 7278ICFCA 2012, pp. 77-95 
    inproceedings URL 
    Abstract: We present an analysis of the publication and citation networks of all previous editions of the three conferences most relevant to the FCA community: ICFCA, ICCS and CLA. Using data mining methods from FCA and graph analysis, we investigate patterns and communities among authors, we identify and visualize influential publications and authors, and we give a statistical summary of the conferences’ history.
    BibTeX:
    @inproceedings{doerfel2012publication,
      author = {Doerfel, Stephan and Jäschke, Robert and Stumme, Gerd},
      title = {Publication Analysis of the Formal Concept Analysis Community},
      booktitle = {ICFCA 2012},
      publisher = {Springer},
      year = {2012},
      volume = {7278},
      pages = {77--95},
      url = {https://www.kde.cs.uni-kassel.de/pub/pdf/doerfel2012publication.pdf}
    }
    
    Wille, R. Plädoyer für eine philosophische Grundlegung der Begrifflichen Wissensverarbeitung 1994 B. I. -WissenschaftsverlagBegriffliche Wissensverarbeitung -- Grundfragen und Aufgaben, pp. 11-25  inproceedings  
    BibTeX:
    @inproceedings{wille94plaedoyer,
      author = {Wille, Rudolf},
      title = {Plädoyer für eine philosophische Grundlegung der Begrifflichen Wissensverarbeitung},
      booktitle = {Begriffliche Wissensverarbeitung -- Grundfragen und Aufgaben},
      journal = {B. I. -Wissenschaftsverlag},
      publisher = {B. I. -Wissenschaftsverlag},
      year = {1994},
      pages = {11-25}
    }
    
    Brugger, W. Philosophisches W�rterbuch 1976   book  
    BibTeX:
    @book{brugger76philosophisches,
      author = {Brugger, W.},
      title = {Philosophisches W�rterbuch},
      publisher = {Herder},
      year = {1976}
    }
    
    Stumme, G. On-Line Analytical Processing with Conceptual Information Systems 1998 Proc. 5th Intl. Conf. on Foundations of Data Organization (FODO'98), pp. 117-126  inproceedings URL 
    BibTeX:
    @inproceedings{stumme98online,
      author = {Stumme, Gerd},
      title = {On-Line Analytical Processing with Conceptual Information Systems},
      booktitle = {Proc. 5th Intl. Conf. on Foundations of Data Organization (FODO'98)},
      year = {1998},
      pages = {117-126},
      note = {Short version of testumme00conceptual},
      url = {http://www.kde.cs.uni-kassel.de/stumme/papers/1998/FODO98.pdf}
    }
    
    Goethals, B., Muhonen, J. & Toivonen, H. Mining non-derivable association rules 2005 Proc. SIAM International Conference on Data Mining  inproceedings  
    BibTeX:
    @inproceedings{goethals05mining,
      author = {Goethals, Bart and Muhonen, Juhu and Toivonen, Hannu},
      title = {Mining non-derivable association rules},
      booktitle = {Proc. SIAM International Conference on Data Mining},
      year = {2005}
    }
    
    Koperski, K., Han, J. & Adhikary, J. Mining knowledge in geographical data 1998   unpublished  
    BibTeX:
    @unpublished{Koperski98,
      author = {Koperski, K. and Han, J. and Adhikary, J.},
      title = {Mining knowledge in geographical data},
      year = {1998},
      note = {Technical Report. ftp://ftp.fas.sfu.ca/pub/cs/han/ kdd/geosurvey98.ps}
    }
    
    Han, J., Pei, J. & Yin, Y. Mining frequent patterns without candidate generation. 2000 Proc. ACM SIGMOD Int'l Conf. on Management of Data, pp. 1-12  inproceedings  
    BibTeX:
    @inproceedings{Han00mining,
      author = {Han, J. and Pei, J. and Yin, Y.},
      title = {Mining frequent patterns without candidate generation.},
      booktitle = {Proc. ACM SIGMOD Int'l Conf. on Management of Data},
      year = {2000},
      pages = {1--12}
    }
    
    Schmitz, C., Hotho, A., Jäschke, R. & Stumme, G. Mining Association Rules in Folksonomies 2006 Data Science and Classification. Proceedings of the 10th IFCS Conf., pp. 261-270  inproceedings URL 
    Abstract: Social bookmark tools are rapidly emerging on the Web. In such
    stems users are setting up lightweight conceptual structures
    lled folksonomies. These systems provide currently relatively few
    ructure. We discuss in this paper, how association rule mining
    n be adopted to analyze and structure folksonomies, and how the results can be used
    r ontology learning and supporting emergent semantics. We
    monstrate our approach on a large scale dataset stemming from an
    line system.
    BibTeX:
    @inproceedings{schmitz2006mining,
      author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd},
      title = {Mining Association Rules in Folksonomies},
      booktitle = {Data Science and Classification. Proceedings of the 10th IFCS Conf.},
      publisher = {Springer},
      year = {2006},
      pages = {261--270},
      url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/schmitz2006mining.pdf}
    }
    
    Calders, T. & Goethals, B. Mining All Non-derivable Frequent Itemsets 2002 PKDD '02: Proceedings of the 6th European Conference on Principles
    of Data Mining and Knowledge Discovery, pp. 74-85 
    inproceedings  
    BibTeX:
    @inproceedings{calders02mining,
      author = {Calders, Toon and Goethals, Bart},
      title = {Mining All Non-derivable Frequent Itemsets},
      booktitle = {PKDD '02: Proceedings of the 6th European Conference on Principles
    
    of Data Mining and Knowledge Discovery}, publisher = {Springer-Verlag}, year = {2002}, pages = {74--85} }
    Kamber, M., Han, J. & Chiang, Y. Metarule-guided mining of multi-dimensional association rules using data cubes. 1997 Proc. of the 3rd KDD Int'l Conf.  inproceedings  
    BibTeX:
    @inproceedings{Kamber97metarule,
      author = {Kamber, M. and Han, J. and Chiang, Y.},
      title = {Metarule-guided mining of multi-dimensional association rules using
    
    data cubes.}, booktitle = {Proc. of the 3rd KDD Int'l Conf.}, year = {1997} }
    von Hentig, H. Magier oder Magister? �ber die Einheit der Wissenschaft im Verst�ndigungsprozess 1974   book  
    BibTeX:
    @book{hentig74magier,
      author = {von Hentig, Hartmut},
      title = {Magier oder Magister? �ber die Einheit der Wissenschaft im Verst�ndigungsprozess},
      publisher = {Suhrkamp},
      year = {1974}
    }
    
    Burdick, D., Calimlim, M. & Gehrke, J. MAFIA: A maximal frequent itemset algorithm for transactional databases 2001 Proc. of the 17th Int. Conf. on Data Engineering  inproceedings  
    BibTeX:
    @inproceedings{burdick01mafia,
      author = {Burdick, D. and Calimlim, M. and Gehrke, J.},
      title = {MAFIA: A maximal frequent itemset algorithm for transactional databases},
      booktitle = {Proc. of the 17th Int. Conf. on Data Engineering},
      publisher = {IEEE Computer Society},
      year = {2001}
    }
    
    Groh, B. & Wille, R. Lattices of Triadic Concept Graphs 2000
    Vol. 1867Conceptual Structures: Logical, Linguistic, and Computational Issues, pp. 332-341 
    inproceedings  
    BibTeX:
    @inproceedings{GrohWille00Lattices,
      author = {Groh, B. and Wille, R.},
      title = {Lattices of Triadic Concept Graphs},
      booktitle = {Conceptual Structures: Logical, Linguistic, and Computational Issues},
      publisher = {Springer},
      year = {2000},
      volume = {1867},
      pages = {332-341}
    }
    
    Lamport, L. LaTeX: A Document Preparation System 1986   book  
    BibTeX:
    @book{lamport86latex,
      author = {Lamport, Leslie},
      title = {LaTeX: A Document Preparation System},
      publisher = {Addison-Wesley},
      year = {1986}
    }
    
    Feldman, R. & Dagan, I. Knowledge discovery in textual databases 1995 Proceedings of the 1st international conference on Knowledge Discovery
    and Data mining (KDD'95), pp. 112-117 
    inproceedings  
    BibTeX:
    @inproceedings{Feldman95,
      author = {Feldman, R. and Dagan, I.},
      title = {Knowledge discovery in textual databases},
      booktitle = {Proceedings of the 1st international conference on Knowledge Discovery
    
    and Data mining (KDD'95)}, publisher = {AAAI Press}, year = {1995}, pages = {112--117} }
    Han, J., Cai, Y. & Cercone, N. Knowledge discovery in databases : An attribute oriented approach 1992 Proceedings of the 18th international conference on Very Large Data
    Bases (VLDB'92), pp. 547-559 
    inproceedings  
    BibTeX:
    @inproceedings{Han92,
      author = {Han, J. and Cai, Y. and Cercone, N.},
      title = {Knowledge discovery in databases : An attribute oriented approach},
      booktitle = {Proceedings of the 18th international conference on Very Large Data
    
    Bases (VLDB'92)}, publisher = {Morgan Kaufmann}, year = {1992}, pages = {547--559} }
    H�t�nen, K., Klemettinen, M., Mannila, H., Ronkainen, P. & Toivonen, H. Knowledge discovery from telecommunication network alarm databases 1996 Proceedings of the 12th International Conference on Data Engineering
    (ICDE'96), pp. 115-122 
    inproceedings  
    BibTeX:
    @inproceedings{Haetoenen96,
      author = {H�t�nen, K. and Klemettinen, M. and Mannila, H. and Ronkainen, P. and Toivonen, H.},
      title = {Knowledge discovery from telecommunication network alarm databases},
      booktitle = {Proceedings of the 12th International Conference on Data Engineering
    
    (ICDE'96)}, publisher = {IEEE Computer Society Press}, year = {1996}, pages = {115--122} }
    Fayyad, U.M., Piatetsky-Shapiro, G. & Smyth, P. Knowledge discovery and data mining : Towards a unifying framework 1996 Proceedings of the 2nd international conference on Knowledge Discovery
    and Data mining (KDD'96), pp. 82-88 
    inproceedings  
    BibTeX:
    @inproceedings{Fayyad96b,
      author = {Fayyad, U. M. and Piatetsky-Shapiro, G. and Smyth, P.},
      title = {Knowledge discovery and data mining : Towards a unifying framework},
      booktitle = {Proceedings of the 2nd international conference on Knowledge Discovery
    
    and Data mining (KDD'96)}, publisher = {AAAI Press}, year = {1996}, pages = {82--88} }
    Fisher, D.H. Knowledge acquisition via incremental conceptual clustering 1987 Machine Learning
    Vol. 2(2), pp. 139-172 
    article  
    BibTeX:
    @article{Fisher87,
      author = {Fisher, D. H.},
      title = {Knowledge acquisition via incremental conceptual clustering},
      journal = {Machine Learning},
      publisher = {Kluwer Academic Publishers},
      year = {1987},
      volume = {2},
      number = {2},
      pages = {139--172}
    }
    
    German Federal Office for Information Security IT Baseline Protection Manual 2003 http://www.bsi.de/gshb/  misc  
    BibTeX:
    @misc{BSI03ITBaseline,
      author = {German Federal Office for Information Security},
      title = {IT Baseline Protection Manual},
      year = {2003}
    }
    
    Hotho, A., Jäschke, R., Schmitz, C. & Stumme, G. Information Retrieval in Folksonomies: Search and Ranking 2006 Proceedings of the 3rd European Semantic Web Conference, pp. 411-426  inproceedings  
    BibTeX:
    @inproceedings{hotho2006information,
      author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd},
      title = {Information Retrieval in Folksonomies: Search and Ranking},
      booktitle = {Proceedings of the 3rd European Semantic Web Conference},
      publisher = {Springer},
      year = {2006},
      pages = {411-426}
    }
    
    Godin, R., Missaoui, R. & Alaoui, H. Incremental concept formation algorithms based on Galois (concept) lattices 1995 Computational Intelligence
    Vol. 11(2), pp. 246-267 
    article  
    BibTeX:
    @article{Godin95,
      author = {Godin, R. and Missaoui, R. and Alaoui, H.},
      title = {Incremental concept formation algorithms based on Galois
    
    (concept) lattices}, journal = {Computational Intelligence}, publisher = {Blackwell Publishers}, year = {1995}, volume = {11}, number = {2}, pages = {246-267} }
    Harinarayan, V., Rajaraman, A. & Ullman, J.D. Implementing data cubes efficiently 1996 Proceedings of the 1996 ACM SIGMOD international conference on Management
    of Data (SIGMOD'96), pp. 205-216 
    inproceedings  
    BibTeX:
    @inproceedings{Harinarayan96,
      author = {Harinarayan, V. and Rajaraman, A. and Ullman, J. D.},
      title = {Implementing data cubes efficiently},
      booktitle = {Proceedings of the 1996 ACM SIGMOD international conference on Management
    
    of Data (SIGMOD'96)}, publisher = {ACM Press}, year = {1996}, pages = {205--216} }
    Stumme, G. Iceberg Query Lattices for Datalog 2004
    Vol. 3127Conceptual Structures at Work: 12th International Conference on Conceptual Structures (ICCS 2004), pp. 109-125 
    inproceedings URL 
    BibTeX:
    @inproceedings{stumme2004iceberg,
      author = {Stumme, Gerd},
      title = {Iceberg Query Lattices for Datalog},
      booktitle = {Conceptual Structures at Work: 12th International Conference on Conceptual Structures (ICCS 2004)},
      publisher = {Springer},
      year = {2004},
      volume = {3127},
      pages = {109-125},
      url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2004/stumme2004iceberg.pdf}
    }
    
    Han, J., Koperski, K. & Stefanovic, N. GeoMiner : A system prototype for spatial data mining 1997 Proceedings of the 1997 ACM SIGMOD international conference on Management
    of Data (SIGMOD'97), pp. 553-556 
    inproceedings  
    BibTeX:
    @inproceedings{Han97,
      author = {Han, J. and Koperski, K. and Stefanovic, N.},
      title = {GeoMiner : A system prototype for spatial data mining},
      booktitle = {Proceedings of the 1997 ACM SIGMOD international conference on Management
    
    of Data (SIGMOD'97)}, publisher = {ACM Press}, year = {1997}, pages = {553--556} }
    Fayyad, U.M., Piatetsky-Shapiro, G. & Smyth, P. From data mining to knowledge discovery : An overview 1996 Advances in Knowledge Discovery and Data Mining, pp. 1-30  incollection  
    BibTeX:
    @incollection{Fayyad96c,
      author = {Fayyad, U. M. and Piatetsky-Shapiro, G. and Smyth, P.},
      title = {From data mining to knowledge discovery : An overview},
      booktitle = {Advances in Knowledge Discovery and Data Mining},
      publisher = {AAAI Press},
      year = {1996},
      pages = {1--30}
    }
    
    Ganter, B. & Wille, R. Formal Concept Analysis: Mathematical foundations 1999   book  
    BibTeX:
    @book{Ganter99,
      author = {Ganter, B. and Wille, R.},
      title = {Formal Concept Analysis: Mathematical foundations},
      publisher = {Springer},
      year = {1999}
    }
    
    Ganter, B. & Wille, R. Formal Concept Analysis: Mathematical Foundations 1999   book  
    BibTeX:
    @book{ganter99formal,
      author = {Ganter, B. and Wille, R.},
      title = {Formal Concept Analysis: Mathematical Foundations},
      publisher = {Springer},
      year = {1999},
      note = {Translation of: itFormale Begriffsanalyse: Mathematische
    
    Grundlagen. Springer, Heidelberg 1996.} }
    Formal Concept Analysis: Foundations and Applications 2005
    Vol. 3626 
    proceedings URL 
    BibTeX:
    @proceedings{ganter05formal,,
      title = {Formal Concept Analysis: Foundations and Applications},
      publisher = {Springer},
      year = {2005},
      volume = {3626},
      note = {http://www.informatik.uni-trier.de/~ley/db/conf/fca/fca2005.html},
      url = {http://www.springerlink.com/content/978-3-540-27891-7/}
    }
    
    Burmeister, P. Formal concept analysis with ConImp : Introduction to the basic features 1998   techreport  
    BibTeX:
    @techreport{Burmeister98,
      author = {Burmeister, P.},
      title = {Formal concept analysis with ConImp : Introduction to the
    
    basic features}, year = {1998}, note = {http://www.mathematik.tu-darmstadt.de/~burmeister/ConImpIntro.ps} }
    Stumme, G. Formal Concept Analysis on its Way from Mathematics to Computer Science 2002
    Vol. 2393Conceptual Structures: Integration and Interfaces , pp. 2-19 
    inproceedings URL 
    BibTeX:
    @inproceedings{stumme02formalconcept,
      author = {Stumme, G.},
      title = {Formal Concept Analysis on its Way from Mathematics to Computer Science},
      booktitle = {Conceptual Structures: Integration and Interfaces },
      publisher = {Springer},
      year = {2002},
      volume = {2393},
      pages = {2-19},
      note = {Invited Talk, summary of testumme03offtonew},
      url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2002/ICCS02.pdf}
    }
    
    Klemettinen, M., Mannila, H., Ronkainen, P., Toivonen, H. & Verkamo, A.I. Finding interesting rules from large sets of discovered association rules 1994 Proceedings of the 3rd international Conference on Information and
    Knowledge Management (CIKM'94), pp. 401-407 
    inproceedings  
    BibTeX:
    @inproceedings{Klemettinen94,
      author = {Klemettinen, M. and Mannila, H. and Ronkainen, P. and Toivonen, H. and Verkamo, A. I.},
      title = {Finding interesting rules from large sets of discovered association
    
    rules}, booktitle = {Proceedings of the 3rd international Conference on Information and
    Knowledge Management (CIKM'94)}, publisher = {ACM Press}, year = {1994}, pages = {401--407} }
    Ganter, B. & Reuter, K. Finding all closed sets : A general approach 1991 Order
    Vol. 8, pp. 283-290 
    article  
    BibTeX:
    @article{Ganter91,
      author = {Ganter, B. and Reuter, K.},
      title = {Finding all closed sets : A general approach},
      journal = {Order},
      publisher = {Kluwer Academic Publishers},
      year = {1991},
      volume = {8},
      pages = {283-290}
    }
    
    Lin, D. Fast algorithms for discovering the maximum frequent sets 1998 School: University of New York  phdthesis  
    BibTeX:
    @phdthesis{Lin98b,
      author = {Lin, D.},
      title = {Fast algorithms for discovering the maximum frequent sets},
      school = {University of New York},
      year = {1998}
    }
    
    Han, J. & Fu, Y. Exploration of the power of attribute oriented induction in data mining 1996 Advances in Knowledge Discovery and Data Mining, pp. 399-421  incollection  
    BibTeX:
    @incollection{Han96a,
      author = {Han, J. and Fu, Y.},
      title = {Exploration of the power of attribute oriented induction in data
    
    mining}, booktitle = {Advances in Knowledge Discovery and Data Mining}, publisher = {AAAI Press}, year = {1996}, pages = {399--421} }
    John, G.H. Enhancements to the data mining process 1997 School: University of Stanford  phdthesis  
    BibTeX:
    @phdthesis{John97,
      author = {John, G. H.},
      title = {Enhancements to the data mining process},
      school = {University of Stanford},
      year = {1997}
    }
    
    Fayet, A., Giacometti, A., Laurent, D. & Spyratos, N. Découverte de r�gles pertinentes dans les bases de donn�es 1998 Actes des 14�mes journ�es Bases de Donn�es Avanc�es (BDA'98), pp. 197-211  inproceedings  
    BibTeX:
    @inproceedings{Fayet98,
      author = {Fayet, A. and Giacometti, A. and Laurent, D. and Spyratos, N.},
      title = {Découverte de r�gles pertinentes dans les bases de donn�es},
      booktitle = {Actes des 14�mes journ�es Bases de Donn�es Avanc�es (BDA'98)},
      year = {1998},
      pages = {197--211}
    }
    
    Brin, S., Motwani, R., Ullman, J.D. & Tsur, S. Dynamic itemset counting and implication rules for market basket data 1997 Proceedings of the 1997 ACM SIGMOD international conference on Management
    of Data (SIGMOD'97), pp. 255-264 
    inproceedings  
    BibTeX:
    @inproceedings{Brin97a,
      author = {Brin, S. and Motwani, R. and Ullman, J. D. and Tsur, S.},
      title = {Dynamic itemset counting and implication rules for market basket
    
    data}, booktitle = {Proceedings of the 1997 ACM SIGMOD international conference on Management
    of Data (SIGMOD'97)}, publisher = {ACM Press}, year = {1997}, pages = {255--264} }
    Cole, R.J., Eklund, P.W. & Stumme, G. Document Retrieval for Email Search and Discovery using Formal Concept Analysis 2003 Journal of Applied Artificial Intelligence (AAI)
    Vol. 17(3), pp. 257-280 
    article URL 
    Abstract: This paper discusses an document discovery tool based on
    nceptual clustering by formal concept analysis. The program
    lows users to navigate email using a visual lattice metaphor
    ther than a tree. It implements a virtual file structure over
    ail where files and entire directories can appear in multiple
    sitions. The content and shape of the lattice formed by the
    nceptual ontology can assist in email discovery. The system
    scribed provides more flexibility in retrieving stored emails
    an what is normally available in email clients. The paper
    scusses how conceptual ontologies can leverage traditional
    cument retrieval systems and aid knowledge discovery in document
    llections.
    BibTeX:
    @article{cole03document,
      author = {Cole, Richard J. and Eklund, Peter W. and Stumme, Gerd},
      title = {Document Retrieval for Email Search and Discovery using Formal Concept Analysis},
      journal = {Journal of Applied Artificial Intelligence (AAI)},
      year = {2003},
      volume = {17},
      number = {3},
      pages = {257-280},
      url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/AAI03_emails.pdf}
    }
    
    Koperski, K. & Han, J. Discovery of spatial association rules in geographic information databases 1995 Proceedings of the 4th international Symposium on advances in Spatial
    Databases (SSD'95), pp. 47-66 
    inproceedings  
    BibTeX:
    @inproceedings{Koperski95,
      author = {Koperski, K. and Han, J.},
      title = {Discovery of spatial association rules in geographic information
    
    databases}, booktitle = {Proceedings of the 4th international Symposium on advances in Spatial
    Databases (SSD'95)}, publisher = {Springer-Verlag}, year = {1995}, pages = {47--66} }
    Han, J. & Fu, Y. Discovery of multiple-level association rules from large databases 1995 Proceedings of the 21st international conference on Very Large Data
    Bases (VLDB'95), pp. 420-431 
    inproceedings  
    BibTeX:
    @inproceedings{Han95,
      author = {Han, J. and Fu, Y.},
      title = {Discovery of multiple-level association rules from large databases},
      booktitle = {Proceedings of the 21st international conference on Very Large Data
    
    Bases (VLDB'95)}, publisher = {Morgan Kaufmann}, year = {1995}, pages = {420--431} }
    Lent, B., Agrawal, R. & Srikant, R. Discovering trends in text databases 1997 Proceedings of the 3rd international conference on Knowledge Discovery
    and Data mining (KDD'97), pp. 227-230 
    inproceedings  
    BibTeX:
    @inproceedings{Lent97,
      author = {Lent, B. and Agrawal, R. and Srikant, R.},
      title = {Discovering trends in text databases},
      booktitle = {Proceedings of the 3rd international conference on Knowledge Discovery
    
    and Data mining (KDD'97)}, publisher = {AAAI Press}, year = {1997}, pages = {227--230} }
    Jäschke, R., Hotho, A., Schmitz, C., Ganter, B. & Stumme, G. Discovering Shared Conceptualizations in Folksonomies 2008 Journal of Web Semantics
    Vol. 6(1), pp. 38-53 
    article URL 
    BibTeX:
    @article{jaeschke08discovering,
      author = {Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Ganter, Bernhard and Stumme, Gerd},
      title = {Discovering Shared Conceptualizations in Folksonomies},
      journal = {Journal of Web Semantics},
      year = {2008},
      volume = {6},
      number = {1},
      pages = {38-53},
      url = {http://dx.doi.org/10.1016/j.websem.2007.11.004}
    }
    
    Gunopulos, D., Mannila, H. & Saluja, S. Discovering all most specific sentences by randomized algorithms 1997 Proceedings of the 6th biennial International Conference on Database
    Theory (ICDT'97), pp. 215-229 
    inproceedings  
    BibTeX:
    @inproceedings{Gunopulos97b,
      author = {Gunopulos, D. and Mannila, H. and Saluja, S.},
      title = {Discovering all most specific sentences by randomized algorithms},
      booktitle = {Proceedings of the 6th biennial International Conference on Database
    
    Theory (ICDT'97)}, publisher = {Springer-Verlag}, year = {1997}, pages = {215-229} }
    Godin, R., Mili, H., Mineau, G., Missaoui, R., Arfi, A. & Chau, T. Design of class hierarchies based on concept (Galois) lattices. 1998 TAPOS
    Vol. 4(2), pp. 117-134 
    article  
    BibTeX:
    @article{Godin98design,
      author = {Godin, R. and Mili, H. and Mineau, G. and Missaoui, R. and Arfi, A. and Chau, T.},
      title = {Design of class hierarchies based on concept (Galois) lattices.},
      journal = {TAPOS},
      year = {1998},
      volume = {4},
      number = {2},
      pages = {117--134}
    }
    
    Han, J., Fu, Y., Wang, W., Chiang, J., Gong, W., Koperski, K., Li, D., Lu, Y., Rajan, A., Stefanovic, N., Xia, B. & Zaïane, O.R. DBMiner : A system for mining knowledge in large relational databases 1996 Proceedings of the 2nd international conference on Knowledge Discovery
    and Data mining (KDD'96), pp. 250-255 
    inproceedings  
    BibTeX:
    @inproceedings{Han96b,
      author = {Han, J. and Fu, Y. and Wang, W. and Chiang, J. and Gong, W. and Koperski, K. and Li, D. and Lu, Y. and Rajan, A. and Stefanovic, N. and Xia, B. and Zaïane, O. R.},
      title = {DBMiner : A system for mining knowledge in large relational
    
    databases}, booktitle = {Proceedings of the 2nd international conference on Knowledge Discovery
    and Data mining (KDD'96)}, publisher = {AAAI Press}, year = {1996}, pages = {250--255} }
    Han, J., Chiang, J., Chee, S., Chen, J., Chen, Q., Cheng, S., Gong, W., Kamber, M., Liu, K.K.G., Lu, Y., Stefanovic, N., Winstone, L., Xia, B., Zaïane, O.R., Zhang, S. & Zhu, H. DBMiner : A system for data mining in relational databases and data warehouses 1997 Proceedings of the 1997 GASCON metting of minds (GASCON'97), pp. 249-260  inproceedings  
    BibTeX:
    @inproceedings{Han97b,
      author = {Han, J. and Chiang, J. and Chee, S. and Chen, J. and Chen, Q. and Cheng, S. and Gong, W. and Kamber, M. and Liu, K. Koperski G. and Lu, Y. and and N. Stefanovic and Winstone, L. and Xia, B. and Zaïane, O. R. and Zhang, S. and Zhu, H.},
      title = {DBMiner : A system for data mining in relational databases
    
    and data warehouses}, booktitle = {Proceedings of the 1997 GASCON metting of minds (GASCON'97)}, year = {1997}, pages = {249--260}, note = {ftp://ftp.fas.sfu.ca/pub/cs/han/kdd/cascon97.ps} }
    Han, J. & Kamber, M. Data: Mining: Concepts and Techniques 2002   book  
    BibTeX:
    @book{Han02data,
      author = {Han, J. and Kamber, M.},
      title = {Data: Mining: Concepts and Techniques},
      publisher = {Morgan Kaufmann},
      year = {2002}
    }
    
    Han, J., Cai, Y. & Cercone, N. Data-driven discovery of quantitative rules in relational databases 1993 IEEE Transansaction on Knowledge and Data Engineering
    Vol. 5(1), pp. 29-40 
    article  
    BibTeX:
    @article{Han93,
      author = {Han, J. and Cai, Y. and Cercone, N.},
      title = {Data-driven discovery of quantitative rules in relational databases},
      journal = {IEEE Transansaction on Knowledge and Data Engineering},
      publisher = {IEEE Computer Society Press},
      year = {1993},
      volume = {5},
      number = {1},
      pages = {29--40}
    }
    
    Han, J. & Kamber, M. Data Mining: Concepts and Techniques 2000   book  
    BibTeX:
    @book{Han:book00,
      author = {Han, J. and Kamber, M.},
      title = {Data Mining: Concepts and Techniques},
      publisher = {Morgan Kaufmann},
      year = {2000}
    }
    
    Bastide, Y. Data Mining: algorithmes par niveau, techniques d'implementation et applications 2000 School: Université de Clermont-Ferrand II  phdthesis  
    BibTeX:
    @phdthesis{Bastide00,
      author = {Bastide, Y.},
      title = {Data Mining: algorithmes par niveau, techniques d'implementation
    
    et applications}, school = {Université de Clermont-Ferrand II}, year = {2000} }
    Gunopulos, D., Khardon, R., Mannila, H. & Toivonen, H. Data mining, hypergraph transversals, and machine learning 1997 Proceedings of the 16th ACM SIGACT-SIGMOD-SIGART symposium on Principles
    of Database Systems (PODS'97), pp. 209-216 
    inproceedings  
    BibTeX:
    @inproceedings{Gunopulos97a,
      author = {Gunopulos, D. and Khardon, R. and Mannila, H. and Toivonen, H.},
      title = {Data mining, hypergraph transversals, and machine learning},
      booktitle = {Proceedings of the 16th ACM SIGACT-SIGMOD-SIGART symposium on Principles
    
    of Database Systems (PODS'97)}, publisher = {ACM Press}, year = {1997}, pages = {209--216} }
    Ganter, B. & Stumme, G. Creation and Merging of Ontology Top-Levels 2003
    Vol. 2746Conceptual Structures for Knowledge Creation and Communication., pp. 131-145 
    inproceedings URL 
    Abstract: We provide a new method for systematically structuring the top-down level of ontologies.
    is based on an interactive, top--down knowledge acquisition
    ocess, which assures that the knowledge engineer
    nsiders all possible cases while avoiding redundant acquisition.
    e method is suited especially for creating/merging the top
    rt(s) of the ontologies, where high accuracy is required, and for supporting the merging of two (or more) ontologies on that level.
    BibTeX:
    @inproceedings{ganter03creation,
      author = {Ganter, Bernhard and Stumme, Gerd},
      title = {Creation and Merging of Ontology Top-Levels},
      booktitle = {Conceptual Structures for Knowledge Creation and Communication.},
      publisher = {Springer},
      year = {2003},
      volume = {2746},
      pages = {131-145},
      url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/ganter2003creation.pdf}
    }
    
    Kent, R.E. & Neuss, C. Creating a Web Analysis and Visualization Environment 1995 Computer Networks and ISDN Systems
    Vol. 28(1\&2), pp. 109-117 
    article URL 
    BibTeX:
    @article{kent95creating,
      author = {Kent, Robert E. and Neuss, Christian},
      title = {Creating a Web Analysis and Visualization Environment},
      journal = {Computer Networks and ISDN Systems},
      year = {1995},
      volume = {28},
      number = {1&},
      pages = {109-117},
      url = {http://dblp.uni-trier.de/db/journals/cn/cn28.html#KentN95}
    }
    
    Contributions to ICCS 2005 2005 Contributions to ICCS 2005  proceedings URL 
    BibTeX:
    @proceedings{dau05contributions,,
      title = {Contributions to ICCS 2005},
      booktitle = {Contributions to ICCS 2005},
      publisher = {kassel university press},
      year = {2005},
      url = {http://www.kde.cs.uni-kassel.de/conf/iccs05}
    }
    
    Kryszkiewicz, M. Concise Representation of Frequent Patterns Based on Disjunction-Free Generators 2001 ICDM '01: Proceedings of the 2001 IEEE International Conference on
    Data Mining, pp. 305-312 
    inproceedings  
    BibTeX:
    @inproceedings{kryszkiewicz01concise,
      author = {Kryszkiewicz, Marzena},
      title = {Concise Representation of Frequent Patterns Based on Disjunction-Free
    
    Generators}, booktitle = {ICDM '01: Proceedings of the 2001 IEEE International Conference on
    Data Mining}, publisher = {IEEE Computer Society}, year = {2001}, pages = {305--312} }
    Conceptual Structures: Common Semantics for Sharing Knowledge, 13th International Conference on Conceptual Structures, ICCS 2005, Kassel, Germany, July 17-22, 2005, Proceedings 2005
    Vol. 3596ICCS 
    proceedings URL 
    BibTeX:
    @proceedings{conf/iccs/2005,,
      title = {Conceptual Structures: Common Semantics for Sharing Knowledge, 13th International Conference on Conceptual Structures, ICCS 2005, Kassel, Germany, July 17-22, 2005, Proceedings},
      booktitle = {ICCS},
      publisher = {Springer},
      year = {2005},
      volume = {3596},
      url = {http://www.kde.cs.uni-kassel.de/conf/iccs05}
    }
    
    Conceptual Structures -- Broadening the Base. Proc. 9th International Conference on Conceptual Structures 2001
    Vol. 2120 
    proceedings  
    BibTeX:
    @proceedings{delugach01conceptual,,
      title = {Conceptual Structures -- Broadening the Base. Proc. 9th International Conference on Conceptual Structures},
      publisher = {Springer},
      year = {2001},
      volume = {2120}
    }
    
    Cimiano, P., Hotho, A., Stumme, G. & Tane, J. Conceptual Knowledge Processing with Formal Concept Analysis and Ontologies 2004
    Vol. 2961Concept Lattices, pp. 189-207 
    inproceedings URL 
    Abstract: Among many other knowledge representations formalisms, Ontologies
    d Formal Concept Analysis (FCA) aim at modeling 'concepts'. We
    scuss how these two formalisms may complement another from an
    plication point of view. In particular, we will see how FCA can
    used to support Ontology Engineering, and how ontologies can be
    ploited in FCA applications. The interplay of FCA and ontologies
    studied along the life cycle of an ontology:
    i) FCA can support the building of the ontology as a
    earning technique.
    ii) The established ontology can be analyzed and navigated by
    sing techniques of FCA.
    iii) Last but not least, the ontology may be used to improve an FCA
    pplication.
    BibTeX:
    @inproceedings{cimiano2004concept,
      author = {Cimiano, Philipp and Hotho, Andreas and Stumme, Gerd and Tane, Julien},
      title = {Conceptual Knowledge Processing with Formal Concept Analysis and Ontologies},
      booktitle = {Concept Lattices},
      publisher = {Springer},
      year = {2004},
      volume = {2961},
      pages = {189-207},
      url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2004/cimiano2004concept.pdf}
    }
    
    Cimiano, P., Hotho, A., Stumme, G. & Tane, J. Conceptual Knowledge Processing with Formal Concept Analysis and Ontologies 2004
    Vol. 2961Concept Lattices, pp. 189-207 
    incollection URL 
    BibTeX:
    @incollection{cimiano2004conceptual,
      author = {Cimiano, Philipp and Hotho, Andreas and Stumme, Gerd and Tane, Julien},
      title = {Conceptual Knowledge Processing with Formal Concept
    Analysis and Ontologies}, booktitle = {Concept Lattices}, publisher = {Springer}, year = {2004}, volume = {2961}, pages = {189--207}, url = {http://dx.doi.org/10.1007/978-3-540-24651-0_18} }
    Hereth, J., Stumme, G., Wille, R. & Wille, U. Conceptual Knowledge Discovery - a Human-Centered Approach 2003 Journal of Applied Artificial Intelligence (AAI)
    Vol. 17(3), pp. 281-301 
    article URL 
    Abstract: In this paper we discuss Conceptual Knowledge Discovery in Databases (CKDD) as it is developing in the field of Conceptual Knowledge
    rocessing. Conceptual Knowledge
    rocessing is based on the mathematical theory of Formal Concept
    nalysis which has become a successful theory for data analysis during
    he last two decades. CKDD aims to support a human-centered process
    discovering knowledge from data by visualizing and analyzing
    e conceptual structure of the data. We dicuss how the
    nagement system TOSCANA for conceptual information systems
    pports CKDD, and illustrate it by two applications in database
    rketing and flight movement analysis. Finally, we present a
    w tool for conceptual deviation discovery, Chianti.
    BibTeX:
    @article{hereth03conceptual,
      author = {Hereth, Joachim and Stumme, Gerd and Wille, Rudolf and Wille, Uta},
      title = {Conceptual Knowledge Discovery - a Human-Centered Approach},
      journal = {Journal of Applied Artificial Intelligence (AAI)},
      year = {2003},
      volume = {17},
      number = {3},
      pages = {281-301},
      url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/hereth2003conceptual.pdf}
    }
    
    Becker, K., Stumme, G., Wille, R., Wille, U. & Zickwolff, M. Conceptual Information Systems Discussed Through an IT-Security Tool 2000
    Vol. 1937Knowledge Engineering and Knowledge Management. Methods, Models, and Tools., pp. 352-365 
    inproceedings URL 
    BibTeX:
    @inproceedings{becker00conceptual,
      author = {Becker, K. and Stumme, G. and Wille, R. and Wille, U. and Zickwolff, M.},
      title = {Conceptual Information Systems Discussed Through an IT-Security Tool},
      booktitle = {Knowledge Engineering and Knowledge Management. Methods, Models, and Tools.},
      publisher = {Springer},
      year = {2000},
      volume = {1937},
      pages = {352-365},
      url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2000/EKAW00.pdf}
    }
    
    Stumme, G., Taouil, R., Bastide, Y., Pasquier, N. & Lakhal, L. Computing iceberg concept lattices with TITANIC 2002 Data & Knowledge Engineering
    Vol. 42(2), pp. 189-222 
    article DOI URL 
    Abstract: We introduce the notion of iceberg concept lattices
    and show their use in knowledge discovery in
    databases. Iceberg lattices are a conceptual
    clustering method, which is well suited for analyzing
    very large databases. They also serve as a condensed
    representation of frequent itemsets, as starting
    point for computing bases of association rules, and
    as a visualization method for association rules.
    Iceberg concept lattices are based on the theory of
    Formal Concept Analysis, a mathematical theory with
    applications in data analysis, information retrieval,
    and knowledge discovery. We present a new algorithm
    called TITANIC for computing (iceberg) concept
    lattices. It is based on data mining techniques with
    a level-wise approach. In fact, TITANIC can be used
    for a more general problem: Computing arbitrary
    closure systems when the closure operator comes along
    with a so-called weight function. The use of weight
    functions for computing closure systems has not been
    discussed in the literature up to now. Applications
    providing such a weight function include association
    rule mining, functional dependencies in databases,
    conceptual clustering, and ontology engineering. The
    algorithm is experimentally evaluated and compared
    with Ganter's Next-Closure algorithm. The evaluation
    shows an important gain in efficiency, especially for
    weakly correlated data.
    BibTeX:
    @article{stumme2002computing,
      author = {Stumme, Gerd and Taouil, Rafik and Bastide, Yves and Pasquier, Nicolas and Lakhal, Lotfi},
      title = {Computing iceberg concept lattices with TITANIC},
      journal = {Data & Knowledge Engineering},
      publisher = {Elsevier Science Publishers B. V.},
      year = {2002},
      volume = {42},
      number = {2},
      pages = {189--222},
      url = {http://portal.acm.org/citation.cfm?id=606457},
      doi = {http://dx.doi.org/10.1016/S0169-023X(02)00057-5}
    }
    
    Kuznetsov, S. & Obiedkov, S. Comparing performance of algorithms for generating concept lattices 2002 Journal of Experimental and Theoretical Artificial Intelligence
    Vol. 14, pp. 189-216 
    article URL 
    BibTeX:
    @article{kuznetsov02comparing,
      author = {Kuznetsov, S. and Obiedkov, S.},
      title = {Comparing performance of algorithms for generating concept lattices},
      journal = {Journal of Experimental and Theoretical Artificial Intelligence},
      year = {2002},
      volume = {14},
      pages = {189-216},
      url = {/brokenurl#citeseer.ist.psu.edu/666686.html}
    }
    
    Lambiotte, R. & Ausloos, M. Collaborative tagging as a tripartite network 2005   misc URL 
    Abstract: We describe online collaborative communities by tripartite networks,
    the nodes being persons, items and tags. We introduce projection
    methods in order to uncover the structures of the networks, i.e.
    communities of users, genre families... <br />To do so, we focus
    on the correlations between the nodes, depending on their profiles,
    and use percolation techniques that consist in removing less correlated
    links and observing the shaping of disconnected islands. The structuring
    of the network is visualised by using a tree representation. The
    notion of diversity in the system is also discussed.
    BibTeX:
    @misc{citeulike:484851,
      author = {Lambiotte, R. and Ausloos, M.},
      title = {Collaborative tagging as a tripartite network},
      year = {2005},
      note = {ttarXiv:cs.DS/0512090},
      url = {http://arxiv.org/abs/cs.DS/0512090}
    }
    
    Breiman, L., Friedman, J.H., Olshen, R.A. & Stone, C.J. Classification and regression trees 1984   book  
    BibTeX:
    @book{Breiman84,
      author = {Breiman, L. and Friedman, J. H. and Olshen, R. A. and Stone, C. J.},
      title = {Classification and regression trees},
      publisher = {Wadsworth Publishing Company},
      year = {1984}
    }
    
    Gardarin, G., Pucheral, P. & Wu, F. Bitmap based algorithms for mining association rules 1998 Actes des 14�mes journ�es Bases de Donn�es Avanc�es (BDA'98), pp. 157-175  inproceedings  
    BibTeX:
    @inproceedings{Gardarin98,
      author = {Gardarin, G. and Pucheral, P. and Wu, F.},
      title = {Bitmap based algorithms for mining association rules},
      booktitle = {Actes des 14�mes journ�es Bases de Donn�es Avanc�es (BDA'98)},
      year = {1998},
      pages = {157--175}
    }
    
    Hotho, A., Jäschke, R., Schmitz, C. & Stumme, G. BibSonomy: A Social Bookmark and Publication Sharing System 2006 Proc. of the ICCS 2006 Conceptual Structures Tool Interoperability
    Workshop 
    inproceedings  
    BibTeX:
    @inproceedings{hjss06bibsonomy,
      author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd},
      title = {BibSonomy: A Social Bookmark and Publication Sharing System},
      booktitle = {Proc. of the ICCS 2006 Conceptual Structures Tool Interoperability
    
    Workshop}, year = {2006}, note = {(to appear)} }
    Hotho, A., Jäschke, R., Schmitz, C. & Stumme, G. BibSonomy: A Social Bookmark and Publication Sharing System 2006 Proceedings of the First Conceptual Structures Tool Interoperability Workshop at the 14th International Conference on Conceptual Structures, pp. 87-102  inproceedings URL 
    Abstract: Social bookmark tools are rapidly emerging on the Web. In such
    stems users are setting up lightweight conceptual structures
    lled folksonomies. The reason for their immediate success is the
    ct that no specific skills are needed for participating. In this
    per we specify a formal model for folksonomies and briefly describe
    r own system BibSonomy, which allows for sharing both bookmarks
    d publication references in a kind of personal library.
    BibTeX:
    @inproceedings{hotho2006bibsonomy,
      author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd},
      title = {BibSonomy: A Social Bookmark and Publication Sharing System},
      booktitle = {Proceedings of the First Conceptual Structures Tool Interoperability Workshop at the 14th International Conference on Conceptual Structures},
      publisher = {Aalborg Universitetsforlag},
      year = {2006},
      pages = {87-102},
      url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006bibsonomy.pdf}
    }
    
    Brin, S., Motwani, R. & Silverstein, C. Beyond market baskets: Generalizing association rules to correlation 1997 Proceedings of the 1997 ACM SIGMOD international conference on Management
    of Data (SIGMOD'97), pp. 265-276 
    inproceedings  
    BibTeX:
    @inproceedings{Brin97b,
      author = {Brin, S. and Motwani, R. and Silverstein, C.},
      title = {Beyond market baskets: Generalizing association rules to correlation},
      booktitle = {Proceedings of the 1997 ACM SIGMOD international conference on Management
    
    of Data (SIGMOD'97)}, publisher = {ACM Press}, year = {1997}, pages = {265--276} }
    Heckerman, D. Bayesian networks for knowledge discovery 1996 Advances in Knowledge Discovery and Data Mining, pp. 273-305  incollection  
    BibTeX:
    @incollection{Heckerman96,
      author = {Heckerman, D.},
      title = {Bayesian networks for knowledge discovery},
      booktitle = {Advances in Knowledge Discovery and Data Mining},
      publisher = {AAAI Press},
      year = {1996},
      pages = {273--305}
    }
    
    Jäschke, R. & Rudolph, S. Attribute Exploration on the Web 2013 Contributions to the 11th International Conference on Formal Concept Analysis, pp. 19-34  inproceedings URL 
    Abstract: We propose an approach for supporting attribute exploration by web information retrieval, in particular by posing appropriate queries to search engines, crowd sourcing systems, and the linked open data cloud. We discuss underlying general assumptions for this to work and the degree to which these can be taken for granted.
    BibTeX:
    @inproceedings{jaschke2013attribute,
      author = {Jäschke, Robert and Rudolph, Sebastian},
      title = {Attribute Exploration on the Web},
      booktitle = {Contributions to the 11th International Conference on Formal Concept Analysis},
      year = {2013},
      pages = {19--34},
      url = {http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-113133}
    }
    
    Boulicaut, J.-F., Bykowski, A. & Rigotti, C. Approximation of Frequency Queries by Means of Free-Sets 2000 PKDD '00: Proceedings of the 4th European Conference on Principles
    of Data Mining and Knowledge Discovery, pp. 75-85 
    inproceedings  
    BibTeX:
    @inproceedings{boulicaut00approximation,
      author = {Boulicaut, Jean-Francois and Bykowski, Artur and Rigotti, Christophe},
      title = {Approximation of Frequency Queries by Means of Free-Sets},
      booktitle = {PKDD '00: Proceedings of the 4th European Conference on Principles
    
    of Data Mining and Knowledge Discovery}, publisher = {Springer-Verlag}, year = {2000}, pages = {75--85} }
    Godin, R. & Missaoui, R. An incremental concept formation approach for learning from databases 1994 Theoretical Computer Science : Special issue on formal methods in
    databases and software engineering
    Vol. 133(2), pp. 387-419 
    article  
    BibTeX:
    @article{Godin94,
      author = {Godin, R. and Missaoui, R.},
      title = {An incremental concept formation approach for learning from databases},
      journal = {Theoretical Computer Science : Special issue on formal methods in
    
    databases and software engineering}, publisher = {Elsevier Science}, year = {1994}, volume = {133}, number = {2}, pages = {387--419} }
    Gupta, A., Harinarayan, V. & Quass, D. Aggregate-query processing in data warehousing environments 1995 Proceedings of the 21st international conference on Very Large Data
    Bases (VLDB'95), pp. 358-369 
    inproceedings  
    BibTeX:
    @inproceedings{Gupta95,
      author = {Gupta, A. and Harinarayan, V. and Quass, D.},
      title = {Aggregate-query processing in data warehousing environments},
      booktitle = {Proceedings of the 21st international conference on Very Large Data
    
    Bases (VLDB'95)}, publisher = {Morgan Kaufmann}, year = {1995}, pages = {358--369} }
    Advances in Formal Concept Analysis for Knowledge Discovery in Databases. Proc. Workshop FCAKDD of the 15th European Conference on Artificial Intelligence (ECAI 2002) 2002   proceedings URL 
    BibTeX:
    @proceedings{duquenne02advanced,,
      title = {Advances in Formal Concept Analysis for Knowledge Discovery in Databases. Proc. Workshop FCAKDD of the 15th European
    
    Conference on Artificial Intelligence (ECAI 2002)}, year = {2002}, url = {http://www.lirmm.fr/~liquiere/Documents/FCAKDDProceedings2002.pdf} }
    Ferr�, S. & Ridoux, O. A Logical Generalization of Formal Concept Analysis 2000 Int. Conf. Conceptual Structures, pp. 371-384  inproceedings  
    Abstract: We propose a generalization of Formal Concept Analysis (FCA) in which
    sets of attributes are replaced by expressions of an almost arbitrary
    logic. We prove that all FCA can be reconstructed on this basis.
    We show that from any logic that is used in place of sets of attributes
    can be derived a contextualized logic that takes into account the
    formal context and that is isomorphic to the concept lattice. We
    then justify the generalization of FCA compared with existing extensions
    and in the perspective of its application to information systems.
    BibTeX:
    @inproceedings{ferre00logical,
      author = {Ferr�, S. and Ridoux, O.},
      title = {A Logical Generalization of Formal Concept Analysis},
      booktitle = {Int. Conf. Conceptual Structures},
      publisher = {Springer},
      year = {2000},
      pages = {371--384}
    }
    
    Carpineto, C. & Romano, G. A lattice conceptual clustering system and its application to browsing retrieval 1996 Machine Learning
    Vol. 24(2), pp. 95-122 
    article URL 
    Abstract: The theory of concept (or Galois) lattices provides a simple and formal approach to conceptual clustering. In this paper we present GALOIS, a system that automates and applies this theory. The algorithm utilized by GALOIS to build a concept lattice is incremental and efficient, each update being done in time at most quadratic in the number of objects in the lattice. Also, the algorithm may incorporate background information into the lattice, and through clustering, extend the scope of the theory. The application we present is concerned with information retrieval via browsing, for which we argue that concept lattices may represent major support structures. We describe a prototype user interface for browsing through the concept lattice of a document-term relation, possibly enriched with a thesaurus of terms. An experimental evaluation of the system performed on a medium-sized bibliographic database shows good retrieval performance and a significant improvement after the introduction of background knowledge.
    -
    BibTeX:
    @article{keyhere,
      author = {Carpineto, Claudio and Romano, Giovanni},
      title = {A lattice conceptual clustering system and its application to browsing retrieval},
      journal = {Machine Learning},
      year = {1996},
      volume = {24},
      number = {2},
      pages = {95--122},
      url = {http://dx.doi.org/10.1007/BF00058654}
    }
    
    Stumme, G. A Finite State Model for On-Line Analytical Processing in Triadic Contexts 2005
    Vol. 3403Proc. 3rd Intl. Conf. on Formal Concept Analysis, pp. 315-328 
    inproceedings URL 
    BibTeX:
    @inproceedings{stumme05finite,
      author = {Stumme, Gerd},
      title = {A Finite State Model for On-Line Analytical Processing in
    
    Triadic Contexts}, booktitle = {Proc. 3rd Intl. Conf. on Formal Concept Analysis}, publisher = {Springer}, year = {2005}, volume = {3403}, pages = {315-328}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2005/stumme2005finite.pdf} }
    Klemettinen, M., Mannila, H. & Toivonen, H. A data-mining methodology and its application to semi-automatic knowledge acquisition 1997 Proceedings of the 8th international conference on Database and Expert
    systems Applications (DEXA'97), pp. 670-677 
    inproceedings  
    BibTeX:
    @inproceedings{Klemettinen97,
      author = {Klemettinen, M. and Mannila, H. and Toivonen, H.},
      title = {A data-mining methodology and its application to semi-automatic knowledge
    
    acquisition}, booktitle = {Proceedings of the 8th international conference on Database and Expert
    systems Applications (DEXA'97)}, publisher = {Springer-Verlag}, year = {1997}, pages = {670--677} }
    Bykowski, A. & Rigotti, C. A condensed representation to find frequent patterns. 2001 PODS  inproceedings URL 
    BibTeX:
    @inproceedings{Bykowski01condensed,
      author = {Bykowski, Artur and Rigotti, Christophe},
      title = {A condensed representation to find frequent patterns.},
      booktitle = {PODS},
      year = {2001},
      url = {http://dblp.uni-trier.de/db/conf/pods/pods2001.html#BykowskiR01}
    }
    

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