@book{habermas81theorie,
  address = {Frankfurt},
  author = {Habermas, J�rgen},
  interhash = {29d9b27c304f7274fca06393932f86c0},
  intrahash = {8d48461dc00919af86b778cd52f0604a},
  publisher = {Suhrkamp},
  title = {Theorie des kommunikativen Handelns},
  year = 1981
}

@techreport{GH05structure,
  author = {Golder, Scott and Huberman, Bernardo A.},
  citeulike-article-id = {305755},
  eprint = {cs.DL/0508082},
  institution = {Information Dynamics Lab, HP Labs    },
  interhash = {2d312240f16eba52c5d73332bc868b95},
  intrahash = {50f762bd270eeda14f71474e3c38795b},
  month = aug,
  priority = {2},
  title = {The Structure of Collaborative Tagging Systems},
  url = {http://arxiv.org/abs/cs.DL/0508082},
  year = 2005
}

@incollection{noKey,
  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.},
  author = {Poelmans, Jonas and Ignatov, DmitryI. and Viaene, Stijn and Dedene, Guido and Kuznetsov, SergeiO.},
  booktitle = {Advances in Data Mining. Applications and Theoretical Aspects},
  doi = {10.1007/978-3-642-31488-9_22},
  editor = {Perner, Petra},
  interhash = {04d543b37049a90f2cbd796585bda214},
  intrahash = {f6eddba1f2c6b7cdbfa67a0c79ae5ae8},
  isbn = {978-3-642-31487-2},
  language = {English},
  pages = {273-287},
  publisher = {Springer Berlin Heidelberg},
  series = {Lecture Notes in Computer Science},
  title = {Text Mining Scientific Papers: A Survey on FCA-Based Information Retrieval Research},
  url = {http://dx.doi.org/10.1007/978-3-642-31488-9_22},
  volume = 7377,
  year = 2012
}

@inproceedings{doerfel2012publication,
  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.
},
  address = {Berlin/Heidelberg},
  author = {Doerfel, Stephan and Jäschke, Robert and Stumme, Gerd},
  booktitle = {ICFCA 2012},
  editor = {Domenach, F. and Ignatov, D.I. and Poelmans, J.},
  interhash = {f34f31e8dd1e07b1b0a5ab688f10084a},
  intrahash = {0ac1296af204a499490bf61a48d03e48},
  pages = {77--95},
  publisher = {Springer},
  series = {Lecture Notes in Artificial Intelligence},
  title = {Publication Analysis of the Formal Concept Analysis Community},
  url = {https://www.kde.cs.uni-kassel.de/pub/pdf/doerfel2012publication.pdf},
  volume = 7278,
  year = 2012
}

@book{brugger76philosophisches,
  address = {Freiburg},
  author = {Brugger, W.},
  interhash = {ef8ab691c1fb931aaa687052dc2adf6e},
  intrahash = {aec0a886db3a974aaba7d25d366e39d0},
  publisher = {Herder},
  title = {Philosophisches W�rterbuch},
  year = 1976
}

@inproceedings{goethals05mining,
  address = {Newport Beach, CA},
  author = {Goethals, Bart and Muhonen, Juhu and Toivonen, Hannu},
  booktitle = {Proc. SIAM International Conference on Data Mining},
  interhash = {45fa946ff4d647bcd2d244c1fcda3cea},
  intrahash = {fb9dbf4e1b0f2312dae4522bd1042fd7},
  month = {April},
  title = {Mining non-derivable association rules},
  year = 2005
}

@inproceedings{Han00mining,
  author = {Han, J. and Pei, J. and Yin, Y.},
  booktitle = {Proc. ACM SIGMOD Int'l Conf. on Management of Data},
  interhash = {e4fe828e65efd092193dcf9195df8074},
  intrahash = {23a3541926977119d923db3bf882a67b},
  month = may,
  pages = {1--12},
  title = {Mining frequent patterns without candidate generation.},
  year = 2000
}

@inproceedings{calders02mining,
  address = {London, UK},
  author = {Calders, Toon and Goethals, Bart},
  booktitle = {PKDD '02: Proceedings of the 6th European Conference on Principles
    of Data Mining and Knowledge Discovery},
  interhash = {bd6398e38b869e61ca0693113225bb89},
  intrahash = {dae3cec8a6ff79f0f4f70e5afdd1074b},
  isbn = {3-540-44037-2},
  pages = {74--85},
  publisher = {Springer-Verlag},
  title = {Mining All Non-derivable Frequent Itemsets},
  year = 2002
}

@inproceedings{burdick01mafia,
  author = {Burdick, D. and Calimlim, M. and Gehrke, J.},
  booktitle = {Proc. of the 17th Int. Conf. on Data Engineering},
  interhash = {716a7cf998954a5b9ff2ab631cb6c40e},
  intrahash = {39c57b94c987cb0fe77dedf39ad59d49},
  publisher = {IEEE Computer Society},
  title = {MAFIA: A maximal frequent itemset algorithm for transactional databases},
  year = 2001
}

@inproceedings{GrohWille00Lattices,
  author = {Groh, B. and Wille, R.},
  booktitle = {Conceptual Structures: Logical, Linguistic, and Computational Issues},
  editor = {Ganter, B. and Mineau, G. W.},
  interhash = {6b5a2dd0792da73b50e45bec4f8f1767},
  intrahash = {58b4ce0bf666067317854f94f9cf47b8},
  isbn = {3-540-67859-X},
  pages = {332-341},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  title = {Lattices of Triadic Concept Graphs},
  volume = 1867,
  year = 2000
}

@inproceedings{Feldman95,
  author = {Feldman, R. and Dagan, I.},
  booktitle = {Proceedings of the 1st international conference on Knowledge Discovery
    and Data mining (KDD'95)},
  interhash = {dab8e405332cbba306ad8a84e4ab75e9},
  intrahash = {8a111097fa81b6d9799b4149b3c7808c},
  month = {August},
  pages = {112--117},
  publisher = {AAAI Press},
  title = {Knowledge discovery in textual databases},
  year = 1995
}

@inproceedings{Han92,
  author = {Han, J. and Cai, Y. and Cercone, N.},
  booktitle = {Proceedings of the 18th international conference on Very Large Data
    Bases (VLDB'92)},
  interhash = {0ef56d4a5dd66df0631c69a23a7be9bf},
  intrahash = {012115004a2175cc4d1c7ed528567aba},
  month = {August},
  pages = {547--559},
  publisher = {Morgan Kaufmann},
  title = {Knowledge discovery in databases : An attribute oriented approach},
  year = 1992
}

@inproceedings{Fayyad96b,
  author = {Fayyad, U. M. and Piatetsky-Shapiro, G. and Smyth, P.},
  booktitle = {Proceedings of the 2nd international conference on Knowledge Discovery
    and Data mining (KDD'96)},
  interhash = {5b2c70bce9a6653f712b078320adba3b},
  intrahash = {842742fc1e7285bf86bb75a056472e05},
  month = {August},
  pages = {82--88},
  publisher = {AAAI Press},
  title = {Knowledge discovery and data mining : Towards a unifying framework},
  year = 1996
}

@article{Fisher87,
  author = {Fisher, D. H.},
  editor = {Holte, R. C.},
  interhash = {36208ac57cc67951de85bd99b8fb8647},
  intrahash = {42d29aaa543e6cba0f4355f8cd8cfa3d},
  journal = {Machine Learning},
  number = 2,
  pages = {139--172},
  publisher = {Kluwer Academic Publishers},
  title = {Knowledge acquisition via incremental conceptual clustering},
  volume = 2,
  year = 1987
}

@misc{BSI03ITBaseline,
  author = {{German Federal Office for Information Security}},
  howpublished = {http://www.bsi.de/gshb/},
  interhash = {f1566aed1ca6630a466cd1eb2a2e7372},
  intrahash = {2b27004b5b47c0ca9e4330be1d836ad8},
  month = {October},
  title = {{IT Baseline Protection Manual}},
  year = 2003
}

@inproceedings{hotho2006information,
  author = {Hotho, Andreas and J{\"a}schke, Robert and Schmitz, Christoph and Stumme, Gerd},
  booktitle = {Proceedings of the 3rd European Semantic Web Conference},
  interhash = {882bd942131c6c303bdc9c4732287ae9},
  intrahash = {087d10ce5603cef6c6a8b443700368a2},
  pages = {411-426},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  title = {Information Retrieval in Folksonomies: Search and Ranking},
  year = 2006
}

@article{Godin95,
  author = {Godin, R. and Missaoui, R. and Alaoui, H.},
  editor = {Cercone, N. and McCalla, G.},
  interhash = {80b25e8a9d0fa8528e36aa6800b96be2},
  intrahash = {6ab0b458c708c8ab14597749573e92b6},
  journal = {Computational Intelligence},
  month = may,
  number = 2,
  pages = {246-267},
  publisher = {Blackwell Publishers},
  title = {Incremental concept formation algorithms based on \textsc{G}alois
    (concept) lattices},
  volume = 11,
  year = 1995
}

@inproceedings{Harinarayan96,
  author = {Harinarayan, V. and Rajaraman, A. and Ullman, J. D.},
  booktitle = {Proceedings of the 1996 ACM SIGMOD international conference on Management
    of Data (SIGMOD'96)},
  interhash = {8c391c02a26e2f17d089fd6993782763},
  intrahash = {29b514b02c06120670b032421c299327},
  month = {June},
  pages = {205--216},
  publisher = {ACM Press},
  title = {Implementing data cubes efficiently},
  year = 1996
}

@inproceedings{Han97,
  author = {Han, J. and Koperski, K. and Stefanovic, N.},
  booktitle = {Proceedings of the 1997 ACM SIGMOD international conference on Management
    of Data (SIGMOD'97)},
  interhash = {d8a16160adffd73ef5b9b5010999c508},
  intrahash = {8548105657bd81edb672503a22d6cfd7},
  month = may,
  pages = {553--556},
  publisher = {ACM Press},
  title = {Geo\textsc{M}iner : A system prototype for spatial data mining},
  year = 1997
}

@incollection{Fayyad96c,
  author = {Fayyad, U. M. and Piatetsky-Shapiro, G. and Smyth, P.},
  booktitle = {Advances in Knowledge Discovery and Data Mining},
  editor = {Fayyad, U. M. and Piatetsky-Shapiro, G. and Smyth, P. and Uthurusamy, R.},
  interhash = {79663e4b1f464b82ce1ae45345dc424f},
  intrahash = {9fd74d12c96d08fd6cca6a9f8fbc960b},
  pages = {1--30},
  publisher = {AAAI Press},
  title = {From data mining to knowledge discovery : An overview},
  year = 1996
}

@book{Ganter99,
  author = {Ganter, B. and Wille, R.},
  interhash = {1b0bf49069eadcdfac42e52addf4eb9d},
  intrahash = {650b71add7b418d99d8e72d315445433},
  publisher = {Springer},
  title = {Formal Concept Analysis: Mathematical foundations},
  year = 1999
}

@book{ganter99formal,
  author = {Ganter, B. and Wille, R.},
  interhash = {1b0bf49069eadcdfac42e52addf4eb9d},
  intrahash = {ee411290ea5b80d257ac115b2738237c},
  note = {Translation of: {\it Formale Be\-griffs\-ana\-ly\-se: Mathematische
    Grundlagen.} Sprin\-ger, Heidelberg 1996.},
  publisher = {Springer},
  title = {Formal Concept Analysis: Mathematical Foundations},
  year = 1999
}

@techreport{Burmeister98,
  address = {Darmstadt, Germany},
  author = {Burmeister, P.},
  institution = {Technische Hochschule Darmstadt},
  interhash = {97fd39298005eccfdfc50c5d89758cf3},
  intrahash = {bc2f727b38b9a2fb6b1138902198ce44},
  note = {http://www.mathematik.tu-darmstadt.de/~burmeister/ConImpIntro.ps},
  title = {Formal concept analysis with \textsc{ConImp} : Introduction to the
    basic features},
  year = 1998
}

@article{Ganter91,
  author = {Ganter, B. and Reuter, K.},
  interhash = {cfb18381e961f73f905218de0c087433},
  intrahash = {0ebee046908c96c4738af9c19da76ea7},
  journal = {Order},
  pages = {283-290},
  publisher = {Kluwer Academic Publishers},
  title = {Finding all closed sets : A general approach},
  volume = 8,
  year = 1991
}

@incollection{Han96a,
  author = {Han, J. and Fu, Y.},
  booktitle = {Advances in Knowledge Discovery and Data Mining},
  editor = {Fayyad, U. M. and Piatetsky-Shapiro, G. and Smyth, P. and Uthurusamy, R.},
  interhash = {c5164f142afb71eab6eacda675239afd},
  intrahash = {5a4c4c50ab339f4726a4a6ab5aaa6f81},
  pages = {399--421},
  publisher = {AAAI Press},
  title = {Exploration of the power of attribute oriented induction in data
    mining},
  year = 1996
}

@inproceedings{Fayet98,
  author = {Fayet, A. and Giacometti, A. and Laurent, D. and Spyratos, N.},
  booktitle = {Actes des 14�mes journ�es Bases de Donn�es Avanc�es (BDA'98)},
  interhash = {c91f819db7def7e4c925f84de0f3c8c3},
  intrahash = {7844ba3652795016a357473fbe170470},
  month = {Octobre},
  pages = {197--211},
  title = {D\'{e}couverte de r�gles pertinentes dans les bases de donn�es},
  year = 1998
}

@inproceedings{Brin97a,
  author = {Brin, S. and Motwani, R. and Ullman, J. D. and Tsur, S.},
  booktitle = {Proceedings of the 1997 ACM SIGMOD international conference on Management
    of Data (SIGMOD'97)},
  interhash = {abf642e57ad3c4123d907b4b64dfc9ad},
  intrahash = {148b693dd14cc53efaec2caefea80876},
  month = may,
  pages = {255--264},
  publisher = {ACM Press},
  title = {Dynamic itemset counting and implication rules for market basket
    data},
  year = 1997
}

@inproceedings{Han95,
  author = {Han, J. and Fu, Y.},
  booktitle = {Proceedings of the 21st international conference on Very Large Data
    Bases (VLDB'95)},
  interhash = {7d3ff310a3fd6463a3906ea6ffea0b73},
  intrahash = {80f2296a3c23d329f7872c5eb2c8020b},
  month = {September},
  pages = {420--431},
  publisher = {Morgan Kaufmann},
  title = {Discovery of multiple-level association rules from large databases},
  year = 1995
}

@inproceedings{Gunopulos97b,
  author = {Gunopulos, D. and Mannila, H. and Saluja, S.},
  booktitle = {Proceedings of the 6th biennial International Conference on Database
    Theory (ICDT'97)},
  interhash = {3cb316bfdbc20dce458caa31527d5f16},
  intrahash = {ea3e43fd09e33e643732767059ee9a34},
  month = {January},
  pages = {215-229},
  publisher = {Springer-Verlag},
  series = {Lecture Notes in Computer Science, Vol. 1186},
  title = {Discovering all most specific sentences by randomized algorithms},
  year = 1997
}

@article{Godin98design,
  author = {Godin, R. and Mili, H. and Mineau, G. and Missaoui, R. and Arfi, A. and Chau, T.},
  interhash = {5b6d89bbb688392cac56233f0009144d},
  intrahash = {581ccf4b627d08abd3e34e16433b4172},
  journal = {TAPOS},
  number = 2,
  pages = {117--134},
  title = {Design of class hierarchies based on concept (Galois) lattices.},
  volume = 4,
  year = 1998
}

@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 Za\"{i}ane, O. R.},
  booktitle = {Proceedings of the 2nd international conference on Knowledge Discovery
    and Data mining (KDD'96)},
  interhash = {954262126ae44f9d14474868ebf472b3},
  intrahash = {82c38f7df3d289b789c112e751c5241c},
  month = {August},
  pages = {250--255},
  publisher = {AAAI Press},
  title = {\textsc{DBM}iner : A system for mining knowledge in large relational
    databases},
  year = 1996
}

@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 Za\"{i}ane, O. R. and Zhang, S. and Zhu, H.},
  booktitle = {Proceedings of the 1997 GASCON metting of minds (GASCON'97)},
  interhash = {0cd0d3182079732e683527b9ce0b00bf},
  intrahash = {6802780a7bfff6a9ab2e60adae368d01},
  month = {November},
  note = {ftp://ftp.fas.sfu.ca/pub/cs/han/kdd/cascon97.ps},
  pages = {249--260},
  title = {\textsc{DBM}iner : A system for data mining in relational databases
    and data warehouses},
  year = 1997
}

@book{Han02data,
  author = {Han, J. and Kamber, M.},
  interhash = {0d8e5efe21d7aae2940039e1981d9d34},
  intrahash = {c58cc8ea95df6cf43a11dafa90ea42f7},
  publisher = {Morgan Kaufmann},
  title = {Data: Mining: Concepts and Techniques},
  year = 2002
}

@article{Han93,
  author = {Han, J. and Cai, Y. and Cercone, N.},
  interhash = {49aca130df99d7e21d8ac7d5c094a7eb},
  intrahash = {f0566ac49df2700d7889cd7222464ba8},
  journal = {IEEE Transansaction on Knowledge and Data Engineering},
  month = {Febuary},
  number = 1,
  pages = {29--40},
  publisher = {IEEE Computer Society Press},
  title = {Data-driven discovery of quantitative rules in relational databases},
  volume = 5,
  year = 1993
}

@book{Han:book00,
  author = {Han, J. and Kamber, M.},
  interhash = {d679215abfdc23fa5ad20b7f8f8d9342},
  intrahash = {621ebd87cc080426d693c2aed74649fd},
  month = {Sept.},
  publisher = {Morgan Kaufmann},
  title = {Data Mining: Concepts and Techniques},
  year = 2000
}

@phdthesis{Bastide00,
  author = {Bastide, Y.},
  interhash = {92e287d5483504a1ff8afa2cdf9fe12c},
  intrahash = {49d077bbe203032b6b6e1e9510ca88b2},
  school = {Université de Clermont-Ferrand II},
  title = {Data Mining: algorithmes par niveau, techniques d'implementation
    et applications},
  year = 2000
}

@inproceedings{Gunopulos97a,
  author = {Gunopulos, D. and Khardon, R. and Mannila, H. and Toivonen, H.},
  booktitle = {Proceedings of the 16th ACM SIGACT-SIGMOD-SIGART symposium on Principles
    of Database Systems (PODS'97)},
  interhash = {25524743720ea6513223dce2de1696c6},
  intrahash = {7c848f3673236b109501141c448ba05e},
  month = may,
  pages = {209--216},
  publisher = {ACM Press},
  title = {Data mining, hypergraph transversals, and machine learning},
  year = 1997
}

@incollection{cimiano2004conceptual,
  address = {Berlin/Heidelberg},
  author = {Cimiano, Philipp and Hotho, Andreas and Stumme, Gerd and Tane, Julien},
  booktitle = {Concept Lattices},
  editor = {Eklund, Peter},
  interhash = {e42d9895b0d816f231227f1be15b03dc},
  intrahash = {9676ee1ded2b73fa90253a2a5dccdbf8},
  isbn = {978-3-540-21043-6},
  pages = {189--207},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  title = {Conceptual Knowledge Processing with Formal Concept
                   Analysis and Ontologies},
  url = {http://dx.doi.org/10.1007/978-3-540-24651-0_18},
  volume = 2961,
  year = 2004
}

@article{stumme2002computing,
  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.},
  address = {Amsterdam, The Netherlands, The Netherlands},
  author = {Stumme, Gerd and Taouil, Rafik and Bastide, Yves and Pasquier, Nicolas and Lakhal, Lotfi},
  doi = {10.1016/S0169-023X(02)00057-5},
  interhash = {d500ac8a249ca8bf0fb05f382799d48f},
  intrahash = {fc31933f0eec502e305b6aecb9ef6e8a},
  issn = {0169-023X},
  journal = {Data \& Knowledge Engineering},
  number = 2,
  pages = {189--222},
  publisher = {Elsevier Science Publishers B. V.},
  title = {Computing iceberg concept lattices with TITANIC},
  url = {http://portal.acm.org/citation.cfm?id=606457},
  volume = 42,
  year = 2002
}

@book{Breiman84,
  author = {Breiman, L. and Friedman, J. H. and Olshen, R. A. and Stone, C. J.},
  interhash = {61f3e6d61ba17bb493014bd1c6dfa670},
  intrahash = {5274abfb6ea9354430e396d7b6a5a154},
  publisher = {Wadsworth Publishing Company},
  title = {Classification and regression trees},
  year = 1984
}

@inproceedings{Gardarin98,
  author = {Gardarin, G. and Pucheral, P. and Wu, F.},
  booktitle = {Actes des 14�mes journ�es Bases de Donn�es Avanc�es (BDA'98)},
  interhash = {1776e8cf1f9a3b9247f5ab3614a443e0},
  intrahash = {3485fa584d30e1c66eef1235ef670d00},
  month = {Octobre},
  pages = {157--175},
  title = {Bitmap based algorithms for mining association rules},
  year = 1998
}

@inproceedings{Brin97b,
  author = {Brin, S. and Motwani, R. and Silverstein, C.},
  booktitle = {Proceedings of the 1997 ACM SIGMOD international conference on Management
    of Data (SIGMOD'97)},
  interhash = {534f496f4a04008ce4061bb940aa4dc9},
  intrahash = {f39498543ce07423d43da0314f087b0b},
  month = may,
  pages = {265--276},
  publisher = {ACM Press},
  title = {Beyond market baskets: Generalizing association rules to correlation},
  year = 1997
}

@inproceedings{jaschke2013attribute,
  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.},
  author = {Jäschke, Robert and Rudolph, Sebastian},
  booktitle = {Contributions to the 11th International Conference on Formal Concept Analysis},
  editor = {Cellier, Peggy and Distel, Felix and Ganter, Bernhard},
  interhash = {000ab7b0ae3ecd1d7d6ceb39de5c11d4},
  intrahash = {45e900e280661d775d8da949baee3747},
  month = may,
  organization = {Technische Universität Dresden},
  pages = {19--34},
  title = {Attribute Exploration on the Web},
  url = {http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-113133},
  urn = {urn:nbn:de:bsz:14-qucosa-113133},
  year = 2013
}

@inproceedings{boulicaut00approximation,
  address = {London, UK},
  author = {Boulicaut, Jean-Francois and Bykowski, Artur and Rigotti, Christophe},
  booktitle = {PKDD '00: Proceedings of the 4th European Conference on Principles
    of Data Mining and Knowledge Discovery},
  interhash = {7b3e7b0c982db3afa3b6633cade025b4},
  intrahash = {bee9235aa41ea2dd621fd477a4dd472b},
  isbn = {3-540-41066-X},
  pages = {75--85},
  publisher = {Springer-Verlag},
  title = {Approximation of Frequency Queries by Means of Free-Sets},
  year = 2000
}

@article{Godin94,
  author = {Godin, R. and Missaoui, R.},
  interhash = {d04e3d5989a7d46bd395f25eb647be35},
  intrahash = {f572df6b58c080fce41cbc3755c2a4d4},
  journal = {Theoretical Computer Science : Special issue on formal methods in
    databases and software engineering},
  month = {October},
  number = 2,
  pages = {387--419},
  publisher = {Elsevier Science},
  title = {An incremental concept formation approach for learning from databases},
  volume = 133,
  year = 1994
}

@inproceedings{Gupta95,
  author = {Gupta, A. and Harinarayan, V. and Quass, D.},
  booktitle = {Proceedings of the 21st international conference on Very Large Data
    Bases (VLDB'95)},
  interhash = {167986e4866f686ea21f55488b0e261e},
  intrahash = {c96c6c0a9bb261db0197670c9e36dca3},
  month = {September},
  pages = {358--369},
  publisher = {Morgan Kaufmann},
  title = {Aggregate-query processing in data warehousing environments},
  year = 1995
}

@inproceedings{ferre00logical,
  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.},
  author = {Ferr�, S. and Ridoux, O.},
  booktitle = {Int. Conf. Conceptual Structures},
  editor = {Mineau, G. and Ganter, B.},
  file = {iccs2000.pdf:http\://www.irisa.fr/lande/ferre/papers/iccs2000.pdf:PDF;iccs2000.ps.gz:http\://www.irisa.fr/lande/ferre/papers/iccs2000.ps.gz:PostScript},
  interhash = {8406cbdc6482927408148155ed6d7546},
  intrahash = {cdfe9d0e687cdc0103ad6a97d110a094},
  langue = {anglais},
  pages = {371--384},
  publisher = {Springer},
  refperso = {200009B},
  series = {LNCS 1867},
  title = {A Logical Generalization of Formal Concept Analysis},
  year = 2000
}

@inproceedings{Bykowski01condensed,
  author = {Bykowski, Artur and Rigotti, Christophe},
  booktitle = {PODS},
  ee = {http://www.acm.org/sigs/sigmod/pods/proc01/online/p130.pdf},
  interhash = {e846c36eb24ff1c8cfbf99e6997854dc},
  intrahash = {3346a948ddb128037306969a0a202a5b},
  title = {A condensed representation to find frequent patterns.},
  url = {http://dblp.uni-trier.de/db/conf/pods/pods2001.html#BykowskiR01},
  year = 2001
}