plications, and Perspectives JO - Künstliche Intelligenz PY - 2007/ VL - IS - 3 SP - 5 EP - 8 UR - http://www.kuenstliche-intelligenz.de/index.php?id=7758 M3 - KW - 2007 KW - introduction KW - ir KW - itegpub KW - ki KW - mining KW - ml KW - myown KW - web L1 - SN - N1 - N1 - AB - ER - TY - GEN AU - A2 - Hotho, Andreas A2 - Stumme, Gerd T1 - Themenheft Web Mining, Künstliche Intelligenz JO - Künstliche Intelligenz PB - AD - PY - 2007/ VL - IS - 3 SP - 5 EP - 8 UR - http://www.kuenstliche-intelligenz.de/index.php?id=7758 M3 - KW - 2007 KW - introduction KW - ir KW - itegpub KW - ki KW - mining KW - ml KW - myown KW - web L1 - N1 - N1 - AB - ER - TY - BOOK AU - A2 - Ackermann, Markus A2 - Berendt, Bettina A2 - Grobelnik, Marko A2 - Hotho, Andreas A2 - Mladenic, Dunja A2 - Semeraro, Giovanni A2 - Spiliopoulou, Myra A2 - Stumme, Gerd A2 - Svatek, Vojtech A2 - van Someren, Maarten T1 - Semantics, Web and Mining PB - Springer AD - Heidelberg PY - 2006/ VL - IS - SP - EP - UR - http://dx.doi.org/10.1007/11908678 M3 - KW - 2006 KW - itegpub KW - l3s KW - mining KW - myown KW - semantic KW - semantics KW - web L1 - SN - N1 - N1 - AB - ER - TY - GEN AU - A2 - Berendt, Bettina A2 - Hotho, Andreas A2 - Mladenic, Dunja A2 - Semerano, Giovanni A2 - Spiliopoulou, Myra A2 - Stumme, Gerd A2 - van Someren, Maarten T1 - Proc. of the European Web Mining Forum 2005 JO - PB - AD - PY - 2005/ VL - IS - SP - EP - UR - http://www.kde.cs.uni-kassel.de/ws/ewmf05 M3 - KW - 2005 KW - ecml KW - european KW - ewmf KW - forum KW - itegpub KW - l3s KW - mining KW - myown KW - pkdd KW - proceedings KW - web KW - workshop L1 - N1 - N1 - AB - ER - TY - CONF AU - Berendt, Bettina AU - Hotho, Andreas AU - Stumme, Gerd A2 - Svatek, Vojtech A2 - Snasel, Vaclav T1 - Semantic Web Mining and the Representation, Analysis, and Evolution of Web Space T2 - Proc. of the 1st Intl. Workshop on Representation and Analysis of Web Space PB - Technical University of Ostrava CY - PY - 2005/ M2 - VL - IS - SP - 1 EP - 16 UR - http://www.kde.cs.uni-kassel.de/stumme/papers/2005/berendt2005semantic.pdf M3 - KW - 2005 KW - itegpub KW - l3s KW - mining KW - myown KW - semantic KW - web L1 - SN - 80-248-0864-1 N1 - N1 - AB - ER - TY - GEN AU - Lakhal, Lotfi AU - Stumme, Gerd A2 - Ganter, Bernhard A2 - Stumme, Gerd A2 - Wille, Rudolf T1 - Efficient Mining of Association Rules Based on Formal Concept Analysis JO - PB - Springer AD - Heidelberg PY - 2005/ VL - 3626 IS - SP - 180 EP - 195 UR - http://www.kde.cs.uni-kassel.de/stumme/papers/2005/lakhal2005efficient.pdf M3 - KW - 2005 KW - analysis KW - association KW - book KW - closed KW - concept KW - condensed KW - data KW - discovery KW - fca KW - formal KW - itegpub KW - itemsets KW - kdd KW - knowledge KW - l3s KW - mining KW - myown KW - representations KW - rules L1 - N1 - N1 - AB - 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. ER - TY - JOUR AU - Pasquier, Nicolas AU - Taouil, Rafik AU - Bastide, Yves AU - Stumme, Gerd AU - Lakhal, Lotfi T1 - Generating a Condensed Representation for Association Rules JO - Journal Intelligent Information Systems (JIIS) PY - 2005/ VL - 24 IS - 1 SP - 29 EP - 60 UR - http://www.kde.cs.uni-kassel.de/stumme/papers/2005/pasquier2005generating.pdf M3 - KW - 2005 KW - OntologyHandbook KW - analysis KW - association KW - closed KW - concept KW - condensed KW - data KW - discovery KW - fca KW - formal KW - itegpub KW - itemset KW - kdd KW - knowledge KW - l3s KW - mining KW - myown KW - representations KW - rule KW - rules KW - sets L1 - SN - N1 - alpha N1 - AB - ER - TY - CONF AU - Berendt, Bettina AU - Hotho, Andreas AU - Mladenic, Dunja AU - van Someren, Maarten AU - Spiliopoulou, Myra AU - Stumme, Gerd A2 - Berendt, Bettina A2 - Hotho, Andreas A2 - Mladenic, Dunja A2 - van Someren, Maarten A2 - Spiliopoulou, Myra A2 - Stumme, Gerd T1 - A Roadmap for Web Mining: From Web to Semantic Web. T2 - Web Mining: From Web to Semantic Web PB - Springer CY - Heidelberg PY - 2004/ M2 - VL - 3209 IS - SP - 1 EP - 22 UR - http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt2004roadmap.pdf M3 - KW - 2004 KW - ecml KW - ewmf KW - itegpub KW - l3s KW - mining KW - myown KW - pkdd KW - proceedings KW - roadmap KW - semantic KW - web KW - workshop L1 - SN - N1 - N1 - AB - 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. ER - TY - CHAP AU - Berendt, Bettina AU - Hotho, Andreas AU - Stumme, Gerd A2 - Kargupta, Hillol A2 - Joshi, Anupam A2 - Sivakumar, Krishnamoorthy A2 - Yesha, Yelena T1 - Usage Mining for and on the Semantic Web T2 - Data Mining Next Generation Challenges and Future Directions PB - AAAI Press CY - Boston PY - 2004/ VL - IS - SP - 461 EP - 481 UR - http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt04usage.pdf M3 - KW - 2004 KW - itegpub KW - l3s KW - mining KW - myown KW - semantic KW - usage KW - web L1 - SN - 0-262-61203-8 N1 - N1 - AB - Semantic Web Mining aims at combining the two fast-developing
research areas Semantic Web and Web Mining.
Web Mining aims at discovering insights about the meaning of Web
resources and their usage. Given the primarily syntactical nature
of data Web mining operates on, the discovery of meaning is
impossible based on these data only. Therefore, formalizations of
the semantics of Web resources and navigation behavior are
increasingly being used. This fits exactly with the aims of the
Semantic Web: the Semantic Web enriches the WWW by
machine-processable information which supports the user in his
tasks. In this paper, we discuss the interplay of the Semantic Web
with Web Mining, with a specific focus on usage mining. ER - TY - GEN AU - A2 - Berendt, Bettina A2 - Hotho, Andreas A2 - Mladenic, Dunja A2 - van Someren, Maarten A2 - Spiliopoulou, Myra A2 - Stumme, Gerd T1 - 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 JO - PB - Springer AD - Heidelberg PY - 2004/ VL - 3209 IS - SP - EP - UR - http://springerlink.metapress.com/content/unvvag26dttf/ M3 - KW - 2004 KW - ecml KW - itegpub KW - l3s KW - mining KW - myown KW - pkdd KW - proceedings KW - semantic KW - web KW - workshop L1 - N1 - N1 - AB - ER -