Conference articles
Towards Mining Semantic Maturity in Social Bookmarking Systems.
In: A. Passant, S. Fernández, J. Breslin and U. Bojārs, editors,
Proceedings of the 4th international workshop on Social Data on the Web (SDoW2011).
2011.
Martin Atzmueller, Dominik Benz, Andreas Hotho and Gerd Stumme.
[doi]
[BibTeX]
Towards Mining Semantic Maturity in Social Bookmarking Systems.
In: A. Passant, S. Fernández, J. Breslin and U. Bojars, editors,
Proceedings of the 4th international workshop on Social Data on the Web (SDoW2011).
2011.
Martin Atzmueller, Dominik Benz, Andreas Hotho and Gerd Stumme.
[doi]
[BibTeX]
Combining Data-Driven and Semantic Approaches for Text Mining..
In: D. Fensel, editor,
Foundations for the Web of Information and Services, pages 115-142.
Springer, 2011.
Stephan Bloehdorn, Sebastian Blohm, Philipp Cimiano, Eugenie Giesbrecht, Andreas Hotho, Uta Lösch, Alexander Mädche, Eddie Mönch, Philipp Sorg, Steffen Staab and Johanna Völker.
[doi]
[BibTeX]
Journal articles
Bridging the Gap-Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0.
Web Semantics: Science, Services and Agents on the World Wide Web, 8(2-3):95 - 96, 2010.
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
Bettina Berendt, Andreas Hotho and Gerd Stumme.
[doi]
[BibTeX]
Bridging the Gap-Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0.
Web Semantics: Science, Services and Agents on the World Wide Web, 8(2-3):95 - 96, 2010.
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
Bettina Berendt, Andreas Hotho and Gerd Stumme.
[doi]
[BibTeX]
Bridging the Gap-Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0.
Web Semantics: Science, Services and Agents on the World Wide Web, 8(2-3):95 - 96, 2010.
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
Bettina Berendt, Andreas Hotho and Gerd Stumme.
[doi]
[BibTeX]
A Semi-Automatic Approach for Confounding-Aware Subgroup Discovery.
International Journal on Artificial Intelligence Tools (IJAIT), 18(1):1 - 18, 2009.
Martin Atzmueller, Frank Puppe and Hans-Peter Buscher.
[BibTeX]
Conference articles
A Textual Subgroup Mining Approach for Rapid ARD+ Model Capture.
In:
Proc. 22nd International Florida Artificial Intelligence Research Society Conference (FLAIRS), accepted.
2009.
Martin Atzmueller and Grzegorz J. Nalepa.
[BibTeX]
Journal articles
Towards Rapid Knowledge Capture using Textual Subgroup Mining for Rule Prototyping.
Technical Report 458, Institute of Computer Science, University of Würzburg, 2009.
Martin Atzmueller and Grzegorz J. Nalepa.
[BibTeX]
Conference articles
Causal Subgroup Analysis for Detecting Confounding (Extended version).
In:
Proc. 18th International Conference on Applications of Declarative Programming and Knowledge Management, accepted.
2008.
Martin Atzmueller and Dietmar Seipel.
[BibTeX]
Declarative Specification of Ontological Domain Knowledge for Descriptive Data Mining (Extended version).
In:
Proc. 18th International Conference on Applications of Declarative Programming and Knowledge Management, accepted.
2008.
Martin Atzmueller and Dietmar Seipel.
[BibTeX]
Design and Implementation of a Data Warehouse for Quality Management, System Evaluation and Knowledge Discovery in the Medical Domain.
In:
Proc. 1st European Workshop on Design, Evaluation and Refinement of Intelligent Systems.
Erfurt, 2008.
Martin Atzmueller, Stephanie Beer, Alexander Hörnlein, Ralf Melcher, Hardi Lührs and Frank Puppe.
[BibTeX]
Miscellaneous
Proceedings of the LWA 2008 - Lernen, Wissen, Adaptivität.
2008.
[BibTeX]
Conference articles
A Methodological View on Knowledge-Intensive Subgroup Discovery.
In:
Proc. 15th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2006), series LNAI, pages 318-325.
2006.
Martin Atzmueller and Frank Puppe.
[BibTeX]
Semantic Web Mining and the Representation, Analysis, and Evolution of Web Space.
In: V. Svatek and V. Snasel, editors,
Proc. of the 1st Intl. Workshop on Representation and Analysis of Web Space, pages 1-16.
Technical University of Ostrava, 2005.
Bettina Berendt, Andreas Hotho and Gerd Stumme.
[doi]
[BibTeX]
A Roadmap for Web Mining: From Web to Semantic Web..
In: B. Berendt, A. Hotho, D. Mladenic, M. van Someren, M. Spiliopoulou and G. Stumme, editors,
Web Mining: From Web to Semantic Web, volume 3209, pages 1-22.
Springer, Heidelberg, 2004.
Bettina Berendt, Andreas Hotho, Dunja Mladenic, Maarten van Someren, Myra Spiliopoulou and Gerd Stumme.
[doi]
[abstract]
[BibTeX]
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.
Book chapters
Usage Mining for and on the Semantic Web.
In:
H. Kargupta, A. Joshi, K. Sivakumar and Y. Yesha, editors,
Data Mining Next Generation Challenges and Future Directions, pages 461-481.
AAAI Press, Boston, 2004.
Bettina Berendt, Andreas Hotho and Gerd Stumme.
[doi]
[abstract]
[BibTeX]
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.
Conference proceedings
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.
LNAI. volume 3209.
Springer, Heidelberg, 2004.
http://km.aifb.uni-karlsruhe.de/ws/ewmf03/.
Bettina Berendt, Andreas Hotho, Dunja Mladenic, Maarten van Someren, Myra Spiliopoulou and Gerd Stumme.
[doi]
[BibTeX]
Conference articles
Evaluation of two Strategies for Case-Based Diagnosis handling Multiple Faults.
In:
Proc. 2nd Conf. Professional Knowledge Management (WM2003).
Luzern, Switzerland, 2003.
Martin Atzmueller, Joachim Baumeister and Frank Puppe.
[BibTeX]