@inproceedings{schmitz2006mining, address = {Berlin/Heidelberg}, author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd}, booktitle = {Data Science and Classification (Proc. IFCS 2006 Conference)}, doi = {10.1007/3-540-34416-0_28}, editor = {Batagelj, V. and Bock, H.-H. and Ferligoj, A. and Žiberna, A.}, interhash = {20650d852ca3b82523fcd8b63e7c12d7}, intrahash = {c8dbb6371be8d67e3aa1928bd3dd0fed}, isbn = {978-3-540-34415-5}, month = {July}, note = {Ljubljana}, pages = {261-270}, publisher = {Springer}, series = {Studies in Classification, Data Analysis, and Knowledge Organization}, title = {Mining Association Rules in Folksonomies}, url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2006/schmitz2006asso_ifcs.pdf}, vgwort = {18}, year = 2006 } @incollection{bloehdorn2006learning, abstract = {Recent work has shown improvements in text clustering and classification tasks by integrating conceptual features extracted from ontologies. In this paper we present text mining experiments in the medical domain in which the ontological structures used are acquired automatically in an unsupervised learning process from the text corpus in question. We compare results obtained using the automatically learned ontologies with those obtained using manually engineered ones. Our results show that both types of ontologies improve results on text clustering and classification tasks, whereby the automatically acquired ontologies yield a improvement competitive with the manually engineered ones. ER -}, author = {Bloehdorn, Stephan and Cimiano, Philipp and Hotho, Andreas}, booktitle = {From Data and Information Analysis to Knowledge Engineering}, doi = {http://dx.doi.org/10.1007/3-540-31314-1_40}, interhash = {cf1af505b638677f00b3d3d7a5903199}, intrahash = {bc1d40cf4fd64780ecf712b1e40f31de}, isbn = {978-3-540-31313-7}, pages = {334--341}, publisher = {Springer Berlin Heidelberg}, title = {Learning Ontologies to Improve Text Clustering and Classification}, url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2006/2006-03-gfkl05-bloehdorn-etal-learning-ontologies.pdf}, year = 2006 } @inproceedings{schmitz2006content, address = {Budva, Montenegro}, author = {Schmitz, Christoph and Hotho, Andreas and J\"aschke, Robert and Stumme, Gerd}, booktitle = {Proceedings of the 3rd European Semantic Web Conference}, interhash = {940fa3c671c771cc9a644b3ecfef43cd}, intrahash = {9a06428ec3bd72e3ea6c7a8f08e2bb85}, isbn = {3-540-34544-2}, month = {June}, pages = {530-544}, publisher = {Springer}, series = {LNCS}, title = {Content Aggregation on Knowledge Bases using Graph Clustering}, url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2006/schmitz2006sumarize_eswc.pdf}, vgwort = {27}, volume = 4011, year = 2006 } @inproceedings{hotho2006information, address = {Budva, Montenegro}, author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd}, booktitle = {Proceedings of the 3rd European Semantic Web Conference }, interhash = {10ec64d80b0ac085328a953bb494fb89}, intrahash = {7da1127fc4836e2cf58e3073f1b888b2}, isbn = {3-540-34544-2}, month = {June}, pages = {411-426}, publisher = {Springer}, series = {LNCS}, title = {Information Retrieval in Folksonomies: Search and Ranking}, url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2006/seach2006hotho_eswc.pdf}, vgwort = {29}, volume = 4011, year = 2006 } @inproceedings{hoser2006semantic, address = {Budva, Montenegro}, author = {Hoser, Bettina and Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd}, booktitle = {Proceedings of the 3rd European Semantic Web Conference}, interhash = {344ec3b4ee8af1a2c6b86efc14917fa9}, intrahash = {85f032bf2ffe9b1b55f8656c8a0d6d70}, isbn = {3-540-34544-2}, month = {June}, pages = {514-529}, publisher = {Springer}, series = {LNCS}, title = {Semantic Network Analysis of Ontologies}, url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2006/hoser_sna_eswc2005.pdf}, vgwort = {29}, volume = 4011, year = 2006 } @incollection{schmitz2006kollaboratives, abstract = {Wissensmanagement in zentralisierten Wissensbasen erfordert einen hohen Aufwand für Erstellung und Wartung, und es entspricht nicht immer den Anforderungen der Benutzer. Wir geben in diesem Kapitel einen Überblick über zwei aktuelle Ansätze, die durch kollaboratives Wissensmanagement diese Probleme lösen können. Im Peer-to-Peer-Wissensmanagement unterhalten Benutzer dezentrale Wissensbasen, die dann vernetzt werden können, um andere Benutzer eigene Inhalte nutzen zu lassen. Folksonomies versprechen, die Wissensakquisition so einfach wie möglich zu gestalten und so viele Benutzer in den Aufbau und die Pflege einer gemeinsamen Wissensbasis einzubeziehen.}, author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd}, booktitle = {Semantic Web - Wege zur vernetzten Wissensgesellschaft}, editor = {Pellegrini, Tassilo and Blumauer, Andreas}, interhash = {cc0f3d4fa8f36968f02837e3f9f5c57b}, intrahash = {16c101a3e00d8930832b1e8c07b31d65}, isbn = {3-540-29324-8}, pages = {273-290}, publisher = {Springer}, title = {Kollaboratives Wissensmanagement}, url = {http://www.semantic-web.at/springer/abstracts/3d_Schmitz_KollabWM.pdf}, vgwort = {32}, year = 2006 } @incollection{bloehdorn2006boosting, author = {Bloehdorn, Stephan and Hotho, Andreas}, booktitle = {Advances in Web Mining and Web Usage Analysis}, citeulike-article-id = {910161}, doi = {10.1007/11899402_10}, interhash = {9351de43861fe23833c5d074059f310a}, intrahash = {e297ea25cc01678c35501a44115aea8d}, isbn = {978-3-540-47127-1}, issn = {0302-9743}, pages = {149--166}, priority = {2}, publisher = {Springer}, series = {LNCS}, title = {Boosting for Text Classification with Semantic Features}, url = {http://dx.doi.org/10.1007/11899402_10}, vgwort = {32}, volume = 3932, year = 2006 } @article{bloehdorn2006intro, author = {Bloehdorn, S. and Buntine, W. and Hotho, A.}, date = {(2006)}, editor = {Bloehdorn, S. and Buntine, W. and Hotho, A.}, institution = {An International Journal of Computing and Informatics}, interhash = {4a3316f2f66fdfcb45c89bb872a82400}, intrahash = {e434232b8e3b80ff3b95006432fe54ee}, issn = {0350-5596}, journal = {Informatica}, number = 2, pages = {141-141}, title = {Introduction to the Special Issue 'Learning in Web Search'}, url = {http://www.informatica.si/PDF/30-2/00_Introduction.pdf}, volume = 30, year = 2006 } @proceedings{berendt2006webmining, editor = {Berendt, B. and Hotho, A. and Mladenic, D. and Semeraro, G.}, interhash = {5e4e5a7285303d11a7f967495fe97059}, intrahash = {ecab780995c630270857b610c7c54e67}, title = {Workshop on Web Mining 2006 (WebMine)}, url = {http://www.kde.cs.uni-kassel.de/ws/webmine2006/pdf/WebMine2006.pdf}, year = 2006 } @inproceedings{hotho06trend, author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd}, booktitle = {Proc. First International Conference on Semantics And Digital Media Technology (SAMT)}, date = {2006-12-13}, editor = {Avrithis, Yannis S. and Kompatsiaris, Yiannis and Staab, Steffen and O'Connor, Noel E.}, ee = {http://dx.doi.org/10.1007/11930334_5}, interhash = {227be738c5cea57530d592463fd09abd}, intrahash = {2df7426d8ae0bd65c6f095d3fc8a703e}, isbn = {3-540-49335-2}, pages = {56-70}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, title = {Trend Detection in Folksonomies}, url = {http://dblp.uni-trier.de/db/conf/samt/samt2006.html#HothoJSS06}, vgwort = {27}, volume = 4306, year = 2006 } @inproceedings{trias2006jaeschke, address = {Hong Kong}, author = {Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Ganter, Bernhard and Stumme, Gerd}, booktitle = {Proc. 6th ICDM conference}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2006.162}, interhash = {b4964c3bdd2991a80873d7080ef6a73e}, intrahash = {f9a6e80c21b1266491d2509ca0b88eea}, isbn = {0-7695-2701-9}, issn = {1550-4786}, month = {December}, title = {TRIAS - An Algorithm for Mining Iceberg Tri-Lattices}, vgwort = {19}, year = 2006 } @inproceedings{dellschaft2006GoldEvalOntoLearn, address = {Athens, GA, USA}, author = {Dellschaft, Klaas and Staab, Steffen}, booktitle = {In: Proc. of ISWC-2006 International Semantic Web Conference}, interhash = {bd5dcdc47711f5dce1a2546db5b66e79}, intrahash = {0bfd502e363ef3f1523d77f972f08397}, month = {November}, pdf = {http://www.uni-koblenz.de/~staab/Research/Publications/2006/DellschaftStaabISWCsubmitted.pdf}, publisher = {Springer, LNCS}, title = {On How to Perform a Gold Standard based Evaluation of Ontology Learning}, url = {http://iswc2006.semanticweb.org/items/paper_44.php}, year = 2006 } @inproceedings{hotho2006emergent, address = {Dresden}, author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd}, booktitle = {Proc. Workshop on Applications of Semantic Technologies, Informatik 2006}, interhash = {53e5677ab0bf1a8f5a635cc32c9082ba}, intrahash = {cae6f73be297d128f273b4e5a56c3093}, isbn = {978-3-88579-188-1}, issn = {1617-5468}, month = oct, title = {Emergent Semantics in BibSonomy}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006emergent.pdf}, vgwort = {14}, volume = {P-94}, year = 2006 } @inproceedings{jaeschke06wege, address = {Halle-Wittenberg}, author = {Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Stumme, Gerd}, booktitle = {Proc. 18. Workshop Grundlagen von Datenbanken}, editor = {Braß, Stefan and Hinneburg, Alexander}, interhash = {59224b5889a24108434a9b5ecc6b0887}, intrahash = {2b6be3bd5daee7119973fcf69909956f}, month = {June}, pages = {80-84}, publisher = {Martin-Luther-Universität }, title = {Wege zur Entdeckung von Communities in Folksonomies}, year = 2006 } @article{jws2006Semantic, abstract = {SemanticWeb Mining aims at combining the two fast-developing research areas SemanticWeb andWeb Mining. This survey analyzes the convergence of trends from both areas: an increasing number of researchers is working on improving the results ofWeb Mining by exploiting semantic structures in theWeb, and they make use ofWeb Mining techniques for building the Semantic Web. Last but not least, these techniques can be used for mining the Semantic Web itself. The Semantic Web is the second-generation WWW, enriched by machine-processable information which supports the user in his tasks. Given the enormous size even of today’s Web, it is impossible to manually enrich all of these resources. Therefore, automated schemes for learning the relevant information are increasingly being used. Web Mining aims at discovering insights about the meaning of Web resources and their usage. Given the primarily syntactical nature of the data being mined, the discovery of meaning is impossible based on these data only. Therefore, formalizations of the semantics of Web sites and navigation behavior are becoming more and more common. Furthermore, mining the Semantic Web itself is another upcoming application. We argue that the two areas Web Mining and Semantic Web need each other to fulfill their goals, but that the full potential of this convergence is not yet realized. This paper gives an overview of where the two areas meet today, and sketches ways of how a closer integration could be profitable.}, author = {Stumme, Gerd and Hotho, Andreas and Berendt, Bettina}, interhash = {3fd4efcf649ab35e8ef001f19b7ff83c}, intrahash = {9937253e6b2591267a0596fa597a4b96}, issn = {1570-8268}, journal = {Journal of Web Semantics}, number = 2, pages = {124-143}, publisher = {Elsevier}, title = {Semantic Web Mining - State of the Art and Future Directions}, url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2006/JWS2006SemanticWebMining.pdf}, vgwort = {74}, volume = 4, year = 2006 } @inproceedings{hjss06bibsonomy, author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd}, booktitle = {Proceedings of the Conceptual Structures Tool Interoperability Workshop at the 14th International Conference on Conceptual Structures}, interhash = {d28c9f535d0f24eadb9d342168836199}, intrahash = {a6faae355d867b5f998ed30e79eec3cf}, isbn = {87-7307-769-0}, pages = {87-102}, title = {{BibSonomy}: A Social Bookmark and Publication Sharing System}, url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2006/iccs_tools_ws_final.pdf}, vgwort = {27}, year = 2006 } @inproceedings{hotho2006folkrank, abstract = { In social bookmark tools users are setting up lightweight conceptual structures called folksonomies. Currently, the information retrieval support is limited. We present a formal model and a new search algorithm for folksonomies, called FolkRank, that exploits the structure of the folksonomy. The proposed algorithm is also applied to find communities within the folksonomy and is used to structure search results. All findings are demonstrated on a large scale dataset. A long version of this paper has been published at the European Semantic Web Conference 2006.}, author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd}, booktitle = {Proc. FGIR 2006}, interhash = {3468dc3fed17eadf2e7c6ff06fbb34a3}, intrahash = {4d8b4f79814691fbe6db8357d63206a1}, issn = {0941-3014}, pages = {111-114}, title = {FolkRank: A Ranking Algorithm for Folksonomies}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006folkrank.pdf}, vgwort = {8}, year = 2006 } @incollection{Haase04Personalized, author = {Haase, Peter and Ehrig, Marc and Hotho, Andreas and Schnizler, Björn}, booktitle = {Peer-to-Peer and SemanticWeb, Decentralized Management and Exchange of Knowledge and Information}, editor = {Staab, Steffen and Stuckenschmidt, Heiner}, interhash = {a319301254d5f1ead9543d401957bd6a}, intrahash = {7e995de813d2ff340285a51ddeaf8892}, isbn = {3-540-28346-3}, pages = {143--158}, publisher = {Springer }, title = {Personalized Information Access in a Bibliographic Peer-to-Peer System}, vgwort = {29}, year = 2006 } @book{Semantic2006Ackermann, author = {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}, interhash = {f4891d2967571b77f1276298f112158f}, intrahash = {fa07206128a5844d06488cfe93b6e22c}, isbn13 = {978-3-540-47697-9}, issn = {0302-9743}, title = {Semantics, Web and Mining}, url = {http://dx.doi.org/10.1007/11908678}, year = 2006 } @misc{mejiasdeli, author = {Mejias, Ulises Ali}, day = 27, interhash = {d25115b4f09147f7c492acb0b92a6d74}, intrahash = {a79c527926c7d8b07de5f14668b7890d}, month = {December}, title = {A del.icio.us study}, url = {http://ideant.typepad.com/ideant/2004/12/a_delicious_stu.html}, year = 2004 } @inproceedings{conf/sigmod/NgLHP98, author = {Ng, Raymond T. and Lakshmanan, Laks V. S. and Han, Jiawei and Pang, Alex}, booktitle = {SIGMOD Conference}, cdrom = {SIGMOD98/P013.PDF}, cite = {conf/sigmod/AgrawalIS93}, ee = {db/conf/sigmod/NgLHP98.html}, interhash = {c4e73bae8e22a39d15d022631c69ddbf}, intrahash = {72825e6a12b3285349fb64c1020383c0}, pages = {13-24}, title = {Exploratory Mining and Pruning Optimizations of Constrained Association Rules.}, url = {http://dblp.uni-trier.de/db/conf/sigmod/sigmod98.html#NgLHP98}, year = 1998 } @inproceedings{672836, address = {San Francisco, CA, USA}, author = {Agrawal, Rakesh and Srikant, Ramakrishnan}, booktitle = {VLDB '94: Proceedings of the 20th International Conference on Very Large Data Bases}, interhash = {960c924ccbe1ff429a30f7433ec53122}, intrahash = {cce11d670329a38a90f625b8005dfb8d}, isbn = {1-55860-153-8}, pages = {487--499}, publisher = {Morgan Kaufmann Publishers Inc.}, title = {Fast Algorithms for Mining Association Rules in Large Databases}, year = 1994 } @article{park1995ehb, author = {Park, J.S. and Chen, M.S. and Yu, P.S.}, interhash = {e7a28762e92ab579ed3f99c565848f9a}, intrahash = {094af08c931c876e20fd0e1e5086583b}, journal = {Proceedings of the 1995 ACM SIGMOD international conference on Management of data}, pages = {175-186}, publisher = {ACM Press New York, NY, USA}, title = {{An effective hash-based algorithm for mining association rules}}, year = 1995 } @article{MacKay2003, author = {MacKay, David J. C.}, interhash = {86f621d9d6f9f159448f768d792d4511}, intrahash = {9a8c0bf8a22e0e4583032eaab241ea04}, isbn = {9780521642989}, title = {Information Theory, Inference, and Learning Algorithms}, url = {http://www.inference.phy.cam.ac.uk/mackay/itila/}, year = 2003 } @article{dempster77, author = {Dempster, A. and Laird, N. and Rubin, D.}, interhash = {6a3c3e7e36b05f7855a57eab65f93593}, intrahash = {193b7978b7867de7834055bbfb937cba}, journal = {J. Royal Statistical Society, Series B}, number = 1, pages = {1-38}, title = {Maximum likelihood from incomplete data via the EM algorithm.}, volume = 39, year = 1977 } @techreport{berkhin02survey, address = {San Jose, CA}, author = {Berkhin, Pavel}, institution = {Accrue Software}, interhash = {fb9b2c7ce3e0f4e6b579660c40fb67a2}, intrahash = {2fec60df240f69dbf677e34825d20491}, title = {Survey Of Clustering Data Mining Techniques}, url = {http://citeseer.ist.psu.edu/berkhin02survey.html}, year = 2002 } @article{goodword2006lowd, address = {Palo Alto, CA}, author = {Lowd, Daniel and Meek, Christopher}, booktitle = {Second Conference on Email and Anti-Spam (CEAS)}, interhash = {c86d81bb31ea199c1d7aaf8b5e3e280d}, intrahash = {947e546ff2a77a7f099da4955fa73df2}, title = {Good Word Attacks on Statistical Spam Filters}, url = {http://www.cs.washington.edu/homes/lowd/ceas05lowd.pdf}, url1 = {http://www.cs.washington.edu/homes/lowd/ceas05lowd.ppt}, year = 2005 } @techreport{boykin04:_person_email_networ, author = {Boykin, P.O. and Roychowdhury, V.}, institution = {University of California, Los Angeles}, interhash = {3fe3b3135786db00897541e4dfdd3523}, intrahash = {770fc07ad9949bbafa5c3b08f196907b}, month = {February}, title = {{Personal Email Networks: An Effective Anti-Spam Tool}}, url = {http://arxiv.org/abs/cond-mat/0402143}, year = 2004 } @book{books/mit/FayyadPSU96, editor = {Fayyad, Usama M. and Piatetsky-Shapiro, Gregory and Smyth, Padhraic and Uthurusamy, Ramasamy}, interhash = {c11811ccd720de5dad0ffea4741725f0}, intrahash = {3553c3acc971c03813352c40afe7476a}, isbn = {0-262-56097-6}, publisher = {AAAI/MIT Press}, title = {Advances in Knowledge Discovery and Data Mining.}, url = {http://www.amazon.com/gp/product/0262560976}, year = 1996 } @incollection{books/mit/fayyadPSU96/BrachmanA96, author = {Brachman, Ronald J. and Anand, Tej}, booktitle = {Advances in Knowledge Discovery and Data Mining}, interhash = {bcc629281c9cdc0df16afa63be4144d4}, intrahash = {5853cd96c1ed7a92d58df9d3b63d2d97}, isbn = {0-262-02313-X}, pages = {37-57}, title = {The Process of Knowledge Discovery in Databases.}, url = {http://dblp.uni-trier.de/db/books/collections/fayyad96.html#BrachmanA96}, year = 1996 } @article{Fay96, author = {Fayyad, U. and Piatetsky-Shapiro, G. and Smyth, P.}, interhash = {971272cb912769da4f85aab25536354b}, intrahash = {eb5f2e6742d9520453cbf9d100cacfd2}, journal = {AI Magazine}, pages = {37-54}, title = {From Data Mining to Knowledge Discovery in Databases}, url = {http://www.kdnuggets.com/gpspubs/aimag-kdd-overview-1996-Fayyad.pdf}, year = 1996 } @book{mitchell97, author = {Mitchell, Tom M.}, interhash = {479a66c32badb3a455fbdcf8e6633a5d}, intrahash = {3e79734ee1a6e49aee02ffd108224d1c}, publisher = {McGraw-Hill}, title = {Machine Learning}, year = 1997 } @article{maitra02, author = {Maitra, R.}, interhash = {7dfd1fe3496527a4253733a06f990fcf}, intrahash = {5c9b8ae716d306921bb1c64cefa2ab84}, isabout = {Statistical and Data and Data_Mining and Computing_Methodologies and ACMTopic and Database_Management and Information_Systems and Image_Representation and Database_Applications and Image_Processing_And_Computer_Vision}, journal = {J. Ind. Soc. Prob. Statist.}, key = {maitra02}, label = {A Statistical Perspective on Data Mining}, title = {A Statistical Perspective on Data Mining}, type = {Article}, url = {http://www.public.iastate.edu/~maitra/papers/datamining.pdf}, year = 2002 }