BibSonomyburst/user/stumme/pkddBibSonomy RSS feed for /user/stumme/pkdd2012-02-16T01:49:36+01:00http://www.bibsonomy.org/bibtex/2d93c7cc72cd40e027d5421fdafe90a9a/stummestumme2010-12-15T11:27:46+01:002010 assessment community ecml evaluation evidence muse myown networks pkdd <span class="authorEditorList"><a href="/author/Mitzlaff">Folke Mitzlaff</a>, <a href="/author/Atzmueller">Martin Atzmueller</a>, <a href="/author/Benz">Dominik Benz</a>, <a href="/author/Hotho">Andreas Hotho</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Proceedings of the Workshop on Mining Ubiquitous and Social Environments MUSE2010, </em><em>Barcelona, Spain, </em>(<em>2010</em>)Wed Dec 15 11:27:46 CET 2010Barcelona, SpainProceedings of the Workshop on Mining Ubiquitous and Social Environments (MUSE2010)Community Assessment using Evidence Networks20102010 assessment community ecml evaluation evidence muse myown networks pkdd Community mining is a prominent approach for identifying (user) communities in social and ubiquitous contexts. While there are a variety of methods for community mining and detection, the effective evaluation and validation of the mined communities is usually non-trivial. Often there is no evaluation data at hand in order to validate the discovered groups. This paper proposes evidence networks using implicit information for the evaluation of communities. The presented evaluation approach is based on the idea of reconstructing existing social structures for the assessment and evaluation of a given clustering. We analyze and compare the presented evidence networks using user data from the real-world social bookmarking application BibSonomy. The results indicate that the evidence networks reflect the relative rating of the explicit ones very well.http://www.bibsonomy.org/bibtex/2b697a98a7340585594455ee2e81d238a/stummestumme2009-09-25T22:01:05+02:002009 ecml l3s logsonomies measures myown pkdd relatedness semantic similarity <span class="authorEditorList"><a href="/author/Benz">Dominik Benz</a>, <a href="/author/Krause">Beate Krause</a>, <a href="/author/Kumar">G. Praveen Kumar</a>, <a href="/author/Hotho">Andreas Hotho</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Proceedings of the 1st Workshop on Explorative Analytics of Information Networks EIN2009, </em><em>Bled, Slovenia, </em>(<em>September 2009</em>)Fri Sep 25 22:01:05 CEST 2009Bled, SloveniaProceedings of the 1st Workshop on Explorative Analytics of Information Networks (EIN2009)SeptemberCharacterizing Semantic Relatedness of Search Query Terms20092009 ecml l3s logsonomies measures myown pkdd relatedness semantic similarity http://www.bibsonomy.org/bibtex/25e8f40e610e723e966676772aa205f80/stummestumme2009-09-25T21:59:24+02:002009 bibsonomy ecml l3s myown pkdd recommender tagging <span class="authorEditorList"><a href="/author/Jäschke">Robert Jäschke</a>, <a href="/author/Eisterlehner">Folke Eisterlehner</a>, <a href="/author/Hotho">Andreas Hotho</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Workshop on Knowledge Discovery, Data Mining, and Machine Learning, </em><em>page 44 --51. </em>(<em>September 2009</em>)Fri Sep 25 21:59:24 CEST 2009Workshop on Knowledge Discovery, Data Mining, and Machine Learningsep44 --51Testing and Evaluating Tag Recommenders in a Live System20092009 bibsonomy ecml l3s myown pkdd recommender tagging The challenge to provide tag recommendations for collaborative tagging systems has attracted quite some attention of researchers lately. However, most research focused on evaluation and development of appropriate methods rather than tackling the practical challenges of how to integrate recommendation methods into real tagging systems, record and evaluate their performance. In this paper we describe the tag recommendation framework we developed for our social bookmark and publication sharing system BibSonomy. With the intention to develop, test, and evaluate recommendation algorithms and supporting cooperation with researchers, we designed the framework to be easily extensible, open for a variety of methods, and usable independent from BibSonomy. Furthermore, this paper presents an evaluation of two exemplarily deployed recommendation methods, demonstrating the power of the framework.http://www.bibsonomy.org/bibtex/2ee4f8a6316e6454df268067b4e47f818/stummestumme2009-07-03T00:18:10+02:002001 ecml kdd mining myown pkdd proceedings semantic web workshop <span class="authorEditorList"><a href="/author/Stumme">G. Stumme</a>, <a href="/author/Hotho">A. Hotho</a>, and <a href="/author/Berendt">B. Berendt</a> (Eds.). </span><em>Freiburg, </em>(<em>September 2001</em>)Fri Jul 03 00:18:10 CEST 2009FreiburgSeptember 3rd,Semantic Web Mining. Workshop Proceedings.20012001 ecml kdd mining myown pkdd proceedings semantic web workshop Proc. of the Semantic Web Mining Workshop of the 12th Europ. Conf. on Machine Learning (ECML'01) / 5th Europ. Conf. on Principles and Practice of Knowledge Discovery in Databases (PKDD'01)http://www.bibsonomy.org/bibtex/2f306e43da22adede0286917d5d83eb3b/stummestumme2006-09-20T19:05:14+02:002005 ecml european ewmf forum itegpub l3s mining myown pkdd proceedings web workshop <span class="authorEditorList"><a href="/author/Berendt">Bettina Berendt</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Mladenic">Dunja Mladenic</a>, <a href="/author/Semerano">Giovanni Semerano</a>, <a href="/author/Spiliopoulou">Myra Spiliopoulou</a>, <a href="/author/Stumme">Gerd Stumme</a>, and <a href="/author/van Someren">Maarten van Someren</a> (Eds.). </span>(<em>2005</em>)Wed Sep 20 19:05:14 CEST 2006Proc. of the European Web Mining Forum 200520052005 ecml european ewmf forum itegpub l3s mining myown pkdd proceedings web workshop http://www.bibsonomy.org/bibtex/2b4d1e0ba321cc53504b66fc58ff18446/stummestumme2006-09-20T14:31:09+02:00web ecml proceedings myown pkdd semantic 2002 mining workshop <span class="authorEditorList"><a href="/author/Berendt">B. Berendt</a>, <a href="/author/Hotho">A. Hotho</a>, and <a href="/author/Stumme">G. Stumme</a> (Eds.). </span><em>Helsinki, Finland, </em>(<em>August 2002</em>)Wed Sep 20 14:31:09 CEST 2006Helsinki, FinlandAugust 19,Semantic Web Mining. Proc. of the Semantic Web Mining Workshop of the 13th Europ. Conf. on Machine Learning (ECML'02) / 6th Europ. Conf. on Principles and Practice of Knowledge Discovery in Databases (PKDD'02)2002web ecml proceedings myown pkdd semantic 2002 mining workshop http://www.bibsonomy.org/bibtex/2158a99f0088fcefa45b1eb7f96aa5673/stummestumme2006-09-18T21:01:32+02:002004 ecml ewmf itegpub l3s mining myown pkdd proceedings roadmap semantic web workshop <span class="authorEditorList"><a href="/author/Berendt">Bettina Berendt</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Mladenic">Dunja Mladenic</a>, <a href="/author/van Someren">Maarten van Someren</a>, <a href="/author/Spiliopoulou">Myra Spiliopoulou</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Web Mining: From Web to Semantic Web, </em><em> 3209, </em><em>page 1-22. </em><em>Heidelberg, </em><em>Springer, </em>(<em>2004</em>)Mon Sep 18 21:01:32 CEST 2006HeidelbergWeb Mining: From Web to Semantic WebDBLP:conf/ewmf/20031-22A Roadmap for Web Mining: From Web to Semantic Web.320920042004 ecml ewmf itegpub l3s mining myown pkdd proceedings roadmap semantic web workshop 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.http://www.bibsonomy.org/bibtex/2be8b91e0c05dde74a4af7123b949c6ac/stummestumme2006-09-18T20:48:51+02:002004 ecml itegpub l3s mining myown pkdd proceedings semantic web workshop <span class="authorEditorList"><a href="/author/Berendt">Bettina Berendt</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Mladenic">Dunja Mladenic</a>, <a href="/author/van Someren">Maarten van Someren</a>, <a href="/author/Spiliopoulou">Myra Spiliopoulou</a>, and <a href="/author/Stumme">Gerd Stumme</a> (Eds.). </span><em>volume 3209 of LNAI, </em><em>Heidelberg, </em><em>Springer, </em>(<em>2004</em>)<em>http://km.aifb.uni-karlsruhe.de/ws/ewmf03/ . </em>Mon Sep 18 20:48:51 CEST 2006Heidelberghttp://km.aifb.uni-karlsruhe.de/ws/ewmf03/LNAIWeb Mining: From Web to Semantic Web, First European Web Mining Forum, EMWF 2003, Cavtat-Dubrovnik, Croatia, September 22, 2003, Revised Selected and Invited Papers320920042004 ecml itegpub l3s mining myown pkdd proceedings semantic web workshop