@incollection{Atzmueller:11, author = {Atzmueller, Martin}, title = {Data Mining}, editor = {McCarthy, Philip M. and Boonthum, Chutima}, booktitle = {Applied Natural Language Processing and Content Analysis: Advances in Identification, Investigation and Resolution.}, publisher = {IGI Global}, year = {2011}, keywords = {2011, data, discovery, itegpub, knowledge, mining, myown, nlp, text} }

%0 = incollection %A = Atzmueller, Martin %B = Applied Natural Language Processing and Content Analysis: Advances in Identification, Investigation and Resolution. %D = 2011 %I = IGI Global %T = Data Mining

@book{ABHS:10,, title = {Proceedings of the LWA 2010 - Lernen, Wissen, Adaptivität}, editor = {Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd}, series = {Technical report (KIS), 2010-10}, publisher = {Department of Electrical Engineering/Computer Science, Kassel University}, year = {2010}, keywords = {2010, data, discovery, itegpub, knowledge, l3s, lwa, mining, myown} }

%0 = book %D = 2010 %I = Department of Electrical Engineering/Computer Science, Kassel University %T = Proceedings of the LWA 2010 - Lernen, Wissen, Adaptivität

@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}, keywords = {2010, data, design, discovery, explanation-aware, itegpub, knowledge, mining, myown} }

%0 = techreport %A = Atzmueller, Martin and Roth-Berghofer, Thomas %B = } %C = %D = 2010 %I = %T = Ready for the MACE? The Mining and Analysis Continuum of Explaining Uncovered} %U =

@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}, keywords = {2010, data, discovery, explanation-aware, itegpub, knowledge, mining, myown} }

%0 = inproceedings %A = Atzmueller, Martin and Roth-Berghofer, Thomas %B = Proc. 30th SGAI International Conference on Artificial Intelligence (AI-2010) %D = 2010 %T = The Mining and Analysis Continuum of Explaining Uncovered

@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}, keywords = {2010, data, discovery, explanation-aware, itegpub, knowledge, mining, myown, social, software} }

%0 = inproceedings %A = Atzmueller, Martin and Roth-Berghofer, Thomas %B = Proc. Workshop on Explanation-aware Computing ExaCt 2010 @ ECAI 2010 %D = 2010 %T = Towards Explanation-Aware Social Software: Applying the Mining and Analysis Continuum of Explaining

@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}, keywords = {2010, discovery, extraction, information, itegpub, mining, myown, subgroup, textmarker, vikamine} }

%0 = inproceedings %A = Atzmueller, Martin and Beer, Stephanie %B = Proc. 55th IWK, International Workshop on Design, Evaluation and Refinement of Intelligent Systems (DERIS) %D = 2010 %I = University of Ilmenau %T = Validation of Mixed-Structured Data Using Pattern Mining and Information Extraction

@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}, issn = {1570-8268}, keywords = {2010, data, introduction, itegpub, l3s, mining, myown, network, semantic, social, unik, web} }

%0 = article %A = Berendt, Bettina and Hotho, Andreas and Stumme, Gerd %D = 2010 %T = Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0 %U = http://www.sciencedirect.com/science/article/B758F-4YXK4HW-1/2/4cb514565477c54160b5e6eb716c32d7

@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}, keywords = {2010, data, decision, descriptive, design, itegpub, mining, myown} }

%0 = inproceedings %A = Kaempgen, Benedikt and Lemmerich, Florian and Atzmueller, Martin %B = Proc. 55th IWK, International Workshop on Design, Evaluation and Refinement of Intelligent Systems (DERIS) %D = 2010 %T = Decision-Maker-Aware Design of Descriptive Data Mining

@inproceedings{LA:10, author = {Lemmerich, Florian and Atzmueller, Martin}, title = {Fast Discovery of Relevant Subgroup Patterns}, booktitle = {Proc. 23rd FLAIRS Conference}, year = {2010}, keywords = {2010, data, itegpub, local, mining, myown, pattern} }

%0 = inproceedings %A = Lemmerich, Florian and Atzmueller, Martin %B = Proc. 23rd FLAIRS Conference %D = 2010 %T = Fast Discovery of Relevant Subgroup Patterns

@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}, keywords = {2010, data, itegpub, management, medical, mining, myown, quality} }

%0 = article %A = Weiss, Christian and Atzmueller, Martin %D = 2010 %T = EWMA Control Charts for Monitoring Binary Processes with Applications to Medical Diagnosis Data

@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}, keywords = {2007, introduction, ir, itegpub, ki, mining, ml, myown, web} }

%0 = article %A = Hotho, Andreas and Stumme, Gerd %D = 2007 %T = Mining the World Wide Web -- Methods, Ap-
ications, and Perspectives %U = http://www.kuenstliche-intelligenz.de/index.php?id=7758

@proceedings{themenheft2007webmining,, title = {Themenheft Web Mining, Künstliche Intelligenz}, editor = {Hotho, Andreas and Stumme, Gerd}, journal = {Künstliche Intelligenz}, year = {2007}, number = {3}, pages = {5-8}, url = {http://www.kuenstliche-intelligenz.de/index.php?id=7758}, keywords = {2007, introduction, ir, itegpub, ki, mining, ml, myown, web} }

%0 = proceedings %B = } %C = %D = 2007 %I = %T = Themenheft Web Mining, Künstliche Intelligenz} %U = http://www.kuenstliche-intelligenz.de/index.php?id=7758

@book{Semantic2006Ackermann,, title = {Semantics, Web and Mining}, editor = {Ackermann, Markus and Berendt, Bettina and Grobelnik, Marko and Hotho, Andreas and Mladenic, Dunja and Semeraro, Giovanni and Spiliopoulou, Myra and Stumme, Gerd and Svatek, Vojtech and van Someren, Maarten}, publisher = {Springer}, address = {Heidelberg}, year = {2006}, url = {http://dx.doi.org/10.1007/11908678}, keywords = {2006, itegpub, l3s, mining, myown, semantic, semantics, web} }

%0 = book %C = Heidelberg %D = 2006 %I = Springer %T = Semantics, Web and Mining %U = http://dx.doi.org/10.1007/11908678

@proceedings{berendt05european,, title = {Proc. of the European Web Mining Forum 2005}, editor = {Berendt, Bettina and Hotho, Andreas and Mladenic, Dunja and Semerano, Giovanni and Spiliopoulou, Myra and Stumme, Gerd and van Someren, Maarten}, year = {2005}, url = {http://www.kde.cs.uni-kassel.de/ws/ewmf05}, keywords = {2005, ecml, european, ewmf, forum, itegpub, l3s, mining, myown, pkdd, proceedings, web, workshop} }

%0 = proceedings %B = } %C = %D = 2005 %I = %T = Proc. of the European Web Mining Forum 2005} %U = http://www.kde.cs.uni-kassel.de/ws/ewmf05

@inproceedings{berendt05semantic, author = {Berendt, Bettina and Hotho, Andreas and Stumme, Gerd}, title = {Semantic Web Mining and the Representation, Analysis, and Evolution of Web Space}, editor = {Svatek, Vojtech and Snasel, Vaclav}, 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}, isbn = {80-248-0864-1}, keywords = {2005, itegpub, l3s, mining, myown, semantic, web} }

%0 = inproceedings %A = Berendt, Bettina and Hotho, Andreas and Stumme, Gerd %B = Proc. of the 1st Intl. Workshop on Representation and Analysis of Web Space %D = 2005 %I = Technical University of Ostrava %T = Semantic Web Mining and the Representation, Analysis, and Evolution of Web Space %U = http://www.kde.cs.uni-kassel.de/stumme/papers/2005/berendt2005semantic.pdf

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.

@inbook{lakhal2005efficient, author = {Lakhal, Lotfi and Stumme, Gerd}, title = {Efficient Mining of Association Rules Based on Formal Concept Analysis}, editor = {Ganter, Bernhard and Stumme, Gerd and Wille, Rudolf}, booktitle = {Formal Concept Analysis: Foundations and Applications}, series = {LNAI}, publisher = {Springer}, address = {Heidelberg}, year = {2005}, volume = {3626}, pages = {180-195}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2005/lakhal2005efficient.pdf}, keywords = {2005, analysis, association, book, closed, concept, condensed, data, discovery, fca, formal, itegpub, itemsets, kdd, knowledge, l3s, mining, myown, representations, rules}, abstract = {Association rules are a popular knowledge discovery technique for warehouse basket analysis. They indicate which items of the warehouse are frequently bought together. The problem of association rule mining has first been stated in 1993. Five years later, several research groups discovered that this problem has a strong connection to Formal Concept Analysis (FCA). In this survey, we will first introduce some basic ideas of this connection along a specific algorithm, and show how FCA helps in reducing the number of resulting rules without loss of information, before giving a general overview over the history and state of the art of applying FCA for association rule mining.} }

%0 = inbook %A = Lakhal, Lotfi and Stumme, Gerd %B = Formal Concept Analysis: Foundations and Applications} %C = Heidelberg %D = 2005 %I = Springer %T = Efficient Mining of Association Rules Based on Formal Concept Analysis} %U = http://www.kde.cs.uni-kassel.de/stumme/papers/2005/lakhal2005efficient.pdf

@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}, keywords = {2005, OntologyHandbook, analysis, association, closed, concept, condensed, data, discovery, fca, formal, itegpub, itemset, kdd, knowledge, l3s, mining, myown, representations, rule, rules, sets} }

%0 = article %A = Pasquier, Nicolas and Taouil, Rafik and Bastide, Yves and Stumme, Gerd and Lakhal, Lotfi %D = 2005 %I = Kluwer Academic Publishers %T = Generating a Condensed Representation for Association Rules %U = http://www.kde.cs.uni-kassel.de/stumme/papers/2005/pasquier2005generating.pdf

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.

@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.}, editor = {Berendt, Bettina and Hotho, Andreas and Mladenic, Dunja and van Someren, Maarten and Spiliopoulou, Myra and Stumme, Gerd}, booktitle = {Web Mining: From Web to Semantic Web}, publisher = {Springer}, address = {Heidelberg}, year = {2004}, volume = {3209}, pages = {1-22}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt2004roadmap.pdf}, keywords = {2004, ecml, ewmf, itegpub, l3s, mining, myown, pkdd, proceedings, roadmap, semantic, web, workshop}, 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.} }

%0 = inproceedings %A = Berendt, Bettina and Hotho, Andreas and Mladenic, Dunja and van Someren, Maarten and Spiliopoulou, Myra and Stumme, Gerd %B = Web Mining: From Web to Semantic Web %C = Heidelberg %D = 2004 %I = Springer %T = A Roadmap for Web Mining: From Web to Semantic Web. %U = http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt2004roadmap.pdf

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.

@incollection{berendt04usage, author = {Berendt, Bettina and Hotho, Andreas and Stumme, Gerd}, title = {Usage Mining for and on the Semantic Web}, editor = {Kargupta, Hillol and Joshi, Anupam and Sivakumar, Krishnamoorthy and Yesha, Yelena}, booktitle = {Data Mining Next Generation Challenges and Future Directions}, publisher = {AAAI Press}, address = {Boston}, year = {2004}, pages = {461-481}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt04usage.pdf}, isbn = {0-262-61203-8}, keywords = {2004, itegpub, l3s, mining, myown, semantic, usage, web}, 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.} }

%0 = incollection %A = Berendt, Bettina and Hotho, Andreas and Stumme, Gerd %B = Data Mining Next Generation Challenges and Future Directions %C = Boston %D = 2004 %I = AAAI Press %T = Usage Mining for and on the Semantic Web %U = http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt04usage.pdf

@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}, editor = {Berendt, Bettina and Hotho, Andreas and Mladenic, Dunja and van Someren, Maarten and Spiliopoulou, Myra and Stumme, Gerd}, series = {LNAI}, publisher = {Springer}, address = {Heidelberg}, year = {2004}, volume = {3209}, note = {http://km.aifb.uni-karlsruhe.de/ws/ewmf03/}, url = {http://springerlink.metapress.com/content/unvvag26dttf/}, isbn = {3-540-23258-3}, keywords = {2004, ecml, itegpub, l3s, mining, myown, pkdd, proceedings, semantic, web, workshop} }

%0 = proceedings %B = } %C = Heidelberg %D = 2004 %I = Springer %T = 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} %U = http://springerlink.metapress.com/content/unvvag26dttf/