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    AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
    Atzmueller, M. Data Mining 2011 Applied Natural Language Processing and Content Analysis: Advances in Identification, Investigation and Resolution.  incollection  
    BibTeX:
    @incollection{Atzmueller:11,
      author = {Atzmueller, Martin},
      title = {Data Mining},
      booktitle = {Applied Natural Language Processing and Content Analysis: Advances in Identification, Investigation and Resolution.},
      publisher = {IGI Global},
      year = {2011}
    }
    
    Proceedings of the LWA 2010 - Lernen, Wissen, Adaptivität 2010   book  
    BibTeX:
    @book{ABHS:10,,
      title = {Proceedings of the LWA 2010 - Lernen, Wissen, Adaptivität},
      publisher = {Department of Electrical Engineering/Computer Science, Kassel University},
      year = {2010}
    }
    
    Atzmueller, M. & Roth-Berghofer, T. Ready for the MACE? The Mining and Analysis Continuum of Explaining Uncovered 2010 (RR-10-02)  techreport  
    BibTeX:
    @techreport{AR:10c,
      author = {Atzmueller, Martin and Roth-Berghofer, Thomas},
      title = {Ready for the MACE? The Mining and Analysis Continuum of Explaining Uncovered},
      year = {2010},
      number = {RR-10-02}
    }
    
    Atzmueller, M. & Roth-Berghofer, T. The Mining and Analysis Continuum of Explaining Uncovered 2010 Proc. 30th SGAI International Conference on Artificial Intelligence (AI-2010)  inproceedings  
    BibTeX:
    @inproceedings{AR:10a,
      author = {Atzmueller, Martin and Roth-Berghofer, Thomas},
      title = {The Mining and Analysis Continuum of Explaining Uncovered},
      booktitle = {Proc. 30th SGAI International Conference on Artificial Intelligence (AI-2010)},
      year = {2010}
    }
    
    Atzmueller, M. & Roth-Berghofer, T. Towards Explanation-Aware Social Software: Applying the Mining and Analysis Continuum of Explaining 2010 Proc. Workshop on Explanation-aware Computing ExaCt 2010 @ ECAI 2010  inproceedings  
    BibTeX:
    @inproceedings{AR:10b,
      author = {Atzmueller, Martin and Roth-Berghofer, Thomas},
      title = {Towards Explanation-Aware Social Software: Applying the Mining and Analysis Continuum of Explaining},
      booktitle = {Proc. Workshop on Explanation-aware Computing ExaCt 2010 @ ECAI 2010},
      year = {2010}
    }
    
    Atzmueller, M. & Beer, S. Validation of Mixed-Structured Data Using Pattern Mining and Information Extraction 2010 Proc. 55th IWK, International Workshop on Design, Evaluation and Refinement of Intelligent Systems (DERIS)  inproceedings  
    BibTeX:
    @inproceedings{AB:10,
      author = {Atzmueller, Martin and Beer, Stephanie},
      title = {Validation of Mixed-Structured Data Using Pattern Mining and Information Extraction},
      booktitle = {Proc. 55th IWK, International Workshop on Design, Evaluation and Refinement of Intelligent Systems (DERIS)},
      publisher = {University of Ilmenau},
      year = {2010}
    }
    
    Berendt, B., Hotho, A. & Stumme, G. Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0 2010 Web Semantics: Science, Services and Agents on the World Wide Web
    Vol. 8(2-3), pp. 95 - 96 
    article DOI URL 
    BibTeX:
    @article{berendt2010bridging,
      author = {Berendt, Bettina and Hotho, Andreas and Stumme, Gerd},
      title = {Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0},
      journal = {Web Semantics: Science, Services and Agents on the World Wide Web},
      year = {2010},
      volume = {8},
      number = {2-3},
      pages = {95 - 96},
      note = {Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0; The Future of Knowledge Dissemination: The Elsevier Grand Challenge for the Life Sciences},
      url = {http://www.sciencedirect.com/science/article/B758F-4YXK4HW-1/2/4cb514565477c54160b5e6eb716c32d7},
      doi = {DOI: 10.1016/j.websem.2010.04.008}
    }
    
    Kaempgen, B., Lemmerich, F. & Atzmueller, M. Decision-Maker-Aware Design of Descriptive Data Mining 2010 Proc. 55th IWK, International Workshop on Design, Evaluation and Refinement of Intelligent Systems (DERIS)  inproceedings  
    BibTeX:
    @inproceedings{KLA:10,
      author = {Kaempgen, Benedikt and Lemmerich, Florian and Atzmueller, Martin},
      title = {Decision-Maker-Aware Design of Descriptive Data Mining},
      booktitle = {Proc. 55th IWK, International Workshop on Design, Evaluation and Refinement of Intelligent Systems (DERIS)},
      year = {2010}
    }
    
    Lemmerich, F. & Atzmueller, M. Fast Discovery of Relevant Subgroup Patterns 2010 Proc. 23rd FLAIRS Conference  inproceedings  
    BibTeX:
    @inproceedings{LA:10,
      author = {Lemmerich, Florian and Atzmueller, Martin},
      title = {Fast Discovery of Relevant Subgroup Patterns},
      booktitle = {Proc. 23rd FLAIRS Conference},
      year = {2010}
    }
    
    Weiss, C. & Atzmueller, M. EWMA Control Charts for Monitoring Binary Processes with Applications to Medical Diagnosis Data 2010 Quality and Reliability Engineering  article  
    BibTeX:
    @article{WA:10,
      author = {Weiss, Christian and Atzmueller, Martin},
      title = {EWMA Control Charts for Monitoring Binary Processes with Applications to Medical Diagnosis Data},
      journal = {Quality and Reliability Engineering},
      year = {2010}
    }
    
    Hotho, A. & Stumme, G. Mining the World Wide Web -- Methods, Ap- plications, and Perspectives 2007 Künstliche Intelligenz(3), pp. 5-8  article URL 
    BibTeX:
    @article{themenheft2007webmining,
      author = {Hotho, Andreas and Stumme, Gerd},
      title = {Mining the World Wide Web -- Methods, Ap-
    
    ications, and Perspectives}, journal = {Künstliche Intelligenz}, year = {2007}, number = {3}, pages = {5-8}, url = {http://www.kuenstliche-intelligenz.de/index.php?id=7758} }
    Themenheft Web Mining, Künstliche Intelligenz 2007 Künstliche Intelligenz(3), pp. 5-8  proceedings URL 
    BibTeX:
    @proceedings{themenheft2007webmining,,
      title = {Themenheft Web Mining, Künstliche Intelligenz},
      journal = {Künstliche Intelligenz},
      year = {2007},
      number = {3},
      pages = {5-8},
      url = {http://www.kuenstliche-intelligenz.de/index.php?id=7758}
    }
    
    Semantics, Web and Mining 2006   book URL 
    BibTeX:
    @book{Semantic2006Ackermann,,
      title = {Semantics, Web and Mining},
      publisher = {Springer},
      year = {2006},
      url = {http://dx.doi.org/10.1007/11908678}
    }
    
    Proc. of the European Web Mining Forum 2005 2005   proceedings URL 
    BibTeX:
    @proceedings{berendt05european,,
      title = {Proc. of the European Web Mining Forum 2005},
      year = {2005},
      url = {http://www.kde.cs.uni-kassel.de/ws/ewmf05}
    }
    
    Berendt, B., Hotho, A. & Stumme, G. Semantic Web Mining and the Representation, Analysis, and Evolution of Web Space 2005 Proc. of the 1st Intl. Workshop on Representation and Analysis of Web Space, pp. 1-16  inproceedings URL 
    BibTeX:
    @inproceedings{berendt05semantic,
      author = {Berendt, Bettina and Hotho, Andreas and Stumme, Gerd},
      title = {Semantic Web Mining and the Representation, Analysis, and Evolution of Web Space},
      booktitle = {Proc. of the 1st Intl. Workshop on Representation and Analysis of Web Space},
      publisher = {Technical University of Ostrava},
      year = {2005},
      pages = {1-16},
      url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2005/berendt2005semantic.pdf}
    }
    
    Lakhal, L. & Stumme, G. Efficient Mining of Association Rules Based on Formal Concept Analysis 2005
    Vol. 3626Formal Concept Analysis: Foundations and Applications, pp. 180-195 
    inbook URL 
    Abstract: Association rules are a popular knowledge discovery technique for
    rehouse basket analysis. They indicate which items of the
    rehouse are frequently bought together. The problem of association
    le mining has first been stated in 1993. Five years later, several
    search groups discovered that this problem has a strong connection
    Formal Concept Analysis (FCA). In this survey, we will first
    troduce some basic ideas of this connection along a specific
    gorithm, and show how FCA helps in reducing the number
    resulting rules without loss of information, before giving a
    neral overview over the history and state of the art of applying
    A for association rule mining.
    BibTeX:
    @inbook{lakhal2005efficient,
      author = {Lakhal, Lotfi and Stumme, Gerd},
      title = {Efficient Mining of Association Rules Based on Formal Concept Analysis},
      booktitle = {Formal Concept Analysis: Foundations and Applications},
      publisher = {Springer},
      year = {2005},
      volume = {3626},
      pages = {180-195},
      url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2005/lakhal2005efficient.pdf}
    }
    
    Pasquier, N., Taouil, R., Bastide, Y., Stumme, G. & Lakhal, L. Generating a Condensed Representation for Association Rules 2005 Journal Intelligent Information Systems (JIIS)
    Vol. 24(1), pp. 29-60 
    article URL 
    BibTeX:
    @article{pasquier2005generating,
      author = {Pasquier, Nicolas and Taouil, Rafik and Bastide, Yves and Stumme, Gerd and Lakhal, Lotfi},
      title = {Generating a Condensed Representation for Association Rules},
      journal = {Journal Intelligent Information Systems (JIIS)},
      publisher = {Kluwer Academic Publishers},
      year = {2005},
      volume = {24},
      number = {1},
      pages = {29-60},
      url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2005/pasquier2005generating.pdf}
    }
    
    Berendt, B., Hotho, A., Mladenic, D., van Someren, M., Spiliopoulou, M. & Stumme, G. A Roadmap for Web Mining: From Web to Semantic Web. 2004
    Vol. 3209Web Mining: From Web to Semantic Web, pp. 1-22 
    inproceedings URL 
    Abstract: The purpose of Web mining is to develop methods and systems for discovering models of objects and processes on the World Wide Web and for web-based systems that show adaptive performance. Web Mining integrates three parent areas: Data Mining (we use this term here also for the closely related areas of Machine Learning and Knowledge Discovery), Internet technology and World Wide Web, and for the more recent Semantic Web. The World Wide Web has made an enormous amount of information electronically accessible. The use of email, news and markup languages like HTML allow users to publish and read documents at a world-wide scale and to communicate via chat connections, including information in the form of images and voice records. The HTTP protocol that enables access to documents over the network via Web browsers created an immense improvement in communication and access to information. For some years these possibilities were used mostly in the scientific world but recent years have seen an immense growth in popularity, supported by the wide availability of computers and broadband communication. The use of the internet for other tasks than finding information and direct communication is increasing, as can be seen from the interest in ldquoe-activitiesrdquo such as e-commerce, e-learning, e-government, e-science.
    BibTeX:
    @inproceedings{berendt2004roadmap,
      author = {Berendt, Bettina and Hotho, Andreas and Mladenic, Dunja and van Someren, Maarten and Spiliopoulou, Myra and Stumme, Gerd},
      title = {A Roadmap for Web Mining: From Web to Semantic Web.},
      booktitle = {Web Mining: From Web to Semantic Web},
      publisher = {Springer},
      year = {2004},
      volume = {3209},
      pages = {1-22},
      url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt2004roadmap.pdf}
    }
    
    Berendt, B., Hotho, A. & Stumme, G. Usage Mining for and on the Semantic Web 2004 Data Mining Next Generation Challenges and Future Directions, pp. 461-481  incollection URL 
    Abstract: Semantic Web Mining aims at combining the two fast-developing
    search areas Semantic Web and Web Mining.
    b Mining aims at discovering insights about the meaning of Web
    sources and their usage. Given the primarily syntactical nature
    data Web mining operates on, the discovery of meaning is
    possible based on these data only. Therefore, formalizations of
    e semantics of Web resources and navigation behavior are
    creasingly being used. This fits exactly with the aims of the
    mantic Web: the Semantic Web enriches the WWW by
    chine-processable information which supports the user in his
    sks. In this paper, we discuss the interplay of the Semantic Web
    th Web Mining, with a specific focus on usage mining.
    BibTeX:
    @incollection{berendt04usage,
      author = {Berendt, Bettina and Hotho, Andreas and Stumme, Gerd},
      title = {Usage Mining for and on the Semantic Web},
      booktitle = {Data Mining  Next Generation Challenges and Future Directions},
      publisher = {AAAI Press},
      year = {2004},
      pages = {461-481},
      url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt04usage.pdf}
    }
    
    Web Mining: From Web to Semantic Web, First European Web Mining Forum, EMWF 2003, Cavtat-Dubrovnik, Croatia, September 22, 2003, Revised Selected and Invited Papers 2004
    Vol. 3209 
    proceedings URL 
    BibTeX:
    @proceedings{berendt2004web,,
      title = {Web Mining: From Web to Semantic Web, First European Web
    
    Mining Forum, EMWF 2003, Cavtat-Dubrovnik, Croatia, September
    22, 2003, Revised Selected and Invited Papers}, publisher = {Springer}, year = {2004}, volume = {3209}, note = {http://km.aifb.uni-karlsruhe.de/ws/ewmf03/}, url = {http://springerlink.metapress.com/content/unvvag26dttf/} }

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