@inproceedings{IfrimTW-ICML2005, title = {Learning Word-to-Concept Mappings for Automatic Text Classification}, address = {Bonn, Germany}, author = {Georgiana Ifrim and Martin Theobald and Gerhard Weikum}, booktitle = {Proceedings of the 22nd International Conference on Machine Learning - Learning in Web Search (LWS 2005)}, editor = {Luc De Raedt and Stefan Wrobel}, pages = {18--26}, year = 2005, url = {http://www.mpi-inf.mpg.de/~ifrim/publications/icml-lws05.pdf}, isbn = {1-59593-180-5}, description = {D5 MPI-INF Publications: Proceedings Article: Learning Word-to-Concept Mappings for Automatic Text Classification}, biburl = {http://www.bibsonomy.org/bibtex/257f8241941ed979455c3dbb90893020f/hotho}, keywords = {tc text wordnet model concept topic classification} } @inproceedings{anti2008krause, title = {The Anti-Social Tagger - Detecting Spam in Social Bookmarking Systems}, author = {Beate Krause and Andreas Hotho and Gerd Stumme}, booktitle = {Proc. of the Fourth International Workshop on Adversarial Information Retrieval on the Web}, year = 2008, url = {http://airweb.cse.lehigh.edu/2008/submissions/krause_2008_anti_social_tagger.pdf}, biburl = {http://www.bibsonomy.org/bibtex/203d349d70b578ca9ac3155f661151868/hotho}, keywords = {bookmarking ml social folksonomy myown spam classification dm 2008 mining} } @article{bloehdorn2006learning, title = {Learning Ontologies to Improve Text Clustering and Classification}, author = {Stephan Bloehdorn and Philipp Cimiano and Andreas Hotho}, journal = {From Data and Information Analysis to Knowledge Engineering}, pages = {334--341}, year = 2006, url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2006/2006-03-gfkl05-bloehdorn-etal-learning-ontologies.pdf}, doi = {http://dx.doi.org/10.1007/3-540-31314-1_40}, description = {SpringerLink - Book Chapter}, 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 -}, biburl = {http://www.bibsonomy.org/bibtex/2121bdc75ba2f61db089bac5f715a07ba/hotho}, keywords = {myown text ol clustering classification 2006} } @inproceedings{baker98distributional, title = {Distributional clustering of words for text classification}, address = {Melbourne, AU}, author = {L. Douglas Baker and Andrew K. McCallum}, booktitle = {Proceedings of {SIGIR}-98, 21st {ACM} International Conference on Research and Development in Information Retrieval}, editor = {W. Bruce Croft and Alistair Moffat and Cornelis J. van Rijsbergen and Ross Wilkinson and Justin Zobel}, pages = {96--103}, publisher = {ACM Press, New York, US}, year = 1998, url = {citeseer.ist.psu.edu/baker98distributional.html}, biburl = {http://www.bibsonomy.org/bibtex/2e472dc4e61921ed15175756fcd9fea6a/hotho}, keywords = {classification text clustering} } @inproceedings{lauser03, title = {Automatic multi-label subject indexing in a multilingual environment}, author = {Boris Lauser and Andreas Hotho}, booktitle = {Proc. of the 7th European Conference in Research and Advanced Technology for Digital Libraries, ECDL 2003}, pages = {140-151}, publisher = {Springer}, series = {LNCS}, volume = 2769, year = 2003, file = {}, biburl = {http://www.bibsonomy.org/bibtex/28b298c325c6ecdb9c01e01057464ae2d/hotho}, keywords = {ontology myown SumSchool06 2003 classification agrovoc text} } @incollection{bloehdorn2006boosting, title = {Boosting for Text Classification with Semantic Features}, author = {Stephan Bloehdorn and Andreas Hotho}, booktitle = {Advances in Web Mining and Web Usage Analysis}, pages = {149--166}, publisher = {Springer}, series = {LNCS}, volume = 3932, year = 2006, url = {http://dx.doi.org/10.1007/11899402_10}, id = {910161}, issn = {0302-9743}, priority = {2}, isbn = {978-3-540-47127-1}, vgwort = {32}, doi = {10.1007/11899402_10}, biburl = {http://www.bibsonomy.org/bibtex/2e297ea25cc01678c35501a44115aea8d/hotho}, keywords = {boosting text 2006 myown classification} } @article{benz07-supporting, title = {Supporting Collaborative Hierarchical Classification: Bookmarks as an Example}, author = {Dominik Benz and Karen H. L. Tso and Lars Schmidt-Thieme}, journal = {Special Issue of the Computer Networks journal on Innovations in Web Communications Infrastructure}, year = 2007, description = {in press}, biburl = {http://www.bibsonomy.org/bibtex/22571baaa4ea731965489cb66e6288886/hotho}, keywords = {hierarchical classification sosbuch recommender bookmarks} } @inproceedings{658298, title = {Collaborative Learning and Recommender Systems}, address = {San Francisco, CA, USA}, author = {Wee Sun Lee}, booktitle = {ICML '01: Proceedings of the Eighteenth International Conference on Machine Learning}, pages = {314--321}, publisher = {Morgan Kaufmann Publishers Inc.}, year = 2001, url = {http://www.comp.nus.edu.sg/~leews/publications/icml01.pdf}, isbn = {1-55860-778-1}, description = {Collaborative Learning and Recommender Systems}, biburl = {http://www.bibsonomy.org/bibtex/2cf5ddf4740a73d8c161e704cac3240f6/hotho}, keywords = {learning classification recommender} } @inproceedings{657311, title = {Learning Collaborative Information Filters}, address = {San Francisco, CA, USA}, author = {Daniel Billsus and Michael J. Pazzani}, booktitle = {ICML '98: Proceedings of the Fifteenth International Conference on Machine Learning}, pages = {46--54}, publisher = {Morgan Kaufmann Publishers Inc.}, year = 1998, url = {http://www.ics.uci.edu/~pazzani/Publications/MLC98.pdf}, isbn = {1-55860-556-8}, description = {Learning Collaborative Information Filters}, biburl = {http://www.bibsonomy.org/bibtex/2977851e8e6cb73b8b94b0cea69dbb9e3/hotho}, keywords = {classification learning recommender} } @inproceedings{295795, title = {Recommendation as classification: using social and content-based information in recommendation}, address = {Menlo Park, CA, USA}, author = {Chumki Basu and Haym Hirsh and William Cohen}, booktitle = {AAAI '98/IAAI '98: Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence}, pages = {714--720}, publisher = {American Association for Artificial Intelligence}, year = 1998, url = {ftp://ftp.cs.rutgers.edu/pub/hirsh/papers/1998/aaai1.ps}, location = {Madison, Wisconsin, United States}, isbn = {0-262-51098-7}, biburl = {http://www.bibsonomy.org/bibtex/290f4b7eab8a7a308c6e077a993cd19d8/hotho}, keywords = {classification recommender toread} } @inproceedings{conf/icdm/PopesculULP03, title = {Statistical Relational Learning for Document Mining.}, author = {Alexandrin Popescul and Lyle H. Ungar and Steve Lawrence and David M. Pennock}, booktitle = {ICDM}, crossref = {conf/icdm/2003}, pages = {275-282}, publisher = {IEEE Computer Society}, year = 2003, url = {http://www.cis.upenn.edu/~popescul/Publications/popescul03dm.pdf}, ee = {http://csdl.computer.org/comp/proceedings/icdm/2003/1978/00/19780275abs.htm}, isbn = {0-7695-1978-4}, date = {2004-01-28}, description = {dblp}, biburl = {http://www.bibsonomy.org/bibtex/27cdd6b0791fcdf17ec6d404b55f12c5c/hotho}, keywords = {tm mining text document 2003 classification srl} } @inproceedings{Kessler97, title = {Automatic Detection of Text Genre}, address = {Madrid, Spain}, author = {B. Kessler and G. Nunberg and H. Sch\"{u}tze}, booktitle = {Proceedings of 35th Annual Meeting of the Association for Computational Linguistics}, year = 1997, url = {http://acl.ldc.upenn.edu/P/P97/P97-1005.pdf}, description = {The big one}, biburl = {http://www.bibsonomy.org/bibtex/2a97be93e36537a8cd11f104127561a6f/hotho}, keywords = {classification genre} } @article{Sebastiani02, title = {Machine learning in automated text categorization}, author = {F. Sebastiani}, journal = {ACM Computing Surveys}, number = 1, pages = {1--47}, volume = 34, year = 2002, url = {http://faure.iei.pi.cnr.it/~fabrizio/Publications/ACMCS02.pdf}, address = {--Dordrecht--London}, biburl = {http://www.bibsonomy.org/bibtex/20fe0d5dd12c2cb59dfc330e684ec4b4a/hotho}, keywords = {text survey tm categorization ml classification} } @inproceedings{conf/ausai/YooH03, title = {A New Approach for Concept-Based Web Search.}, author = {Seung Yeol Yoo and Achim G. Hoffmann}, booktitle = {Australian Conference on Artificial Intelligence}, pages = {65-76}, year = 2003, url = {http://dblp.uni-trier.de/db/conf/ausai/ausai2003.html#YooH03}, ee = {http://springerlink.metapress.com/openurl.asp?genre=article&issn=0302-9743&volume=2903&spage=65}, biburl = {http://www.bibsonomy.org/bibtex/2897fb5d2ab04ccbd613b9574fd4c9e47/hotho}, keywords = {fca search web classification comparison taxonomy} } @inproceedings{bloehdorn2004icdm, title = {Text Classification by Boosting Weak Learners based on Terms and Concepts}, author = {Stephan Bloehdorn and Andreas Hotho}, booktitle = {Proceedings of the Fourth IEEE International Conference on Data Mining}, month = {NOV}, pages = {331-334}, publisher = {IEEE Computer Society Press}, year = 2004, url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2004/icdm04boosting.pdf}, biburl = {http://www.bibsonomy.org/bibtex/27df6357c79445d811f4a9223e688da14/hotho}, keywords = {weak learner SumSchool06 ontology 2004 classification boosting myown text} } @inproceedings{bloehdorn04msw, title = {Boosting for Text Classification with Semantic Features}, author = {Stephan Bloehdorn and Andreas Hotho}, booktitle = {Proceedings of the MSW 2004 workshop at the 10th ACM SIGKDD Conference on Knowledge Discovery and Data Mining}, month = {AUG}, pages = {70-87}, year = 2004, url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2004/msw04bloehdorn.pdf}, biburl = {http://www.bibsonomy.org/bibtex/2584e82bad6eb767636ce3ddd8f1ae233/hotho}, keywords = {boosting text 2004 myown ontology classification SumSchool06} } @article{schoelkopf01kernelbased, title = {An Introduction to Kernel-Based learning Algorithms}, author = {K.-R. Müller and S. Mika and G. Rätsch and S. Tsuda and B Schölkopf}, journal = {IEEE Transactions on Neural Networks}, number = 2, pages = {181--202}, volume = 12, year = 2001, url = {http://www.ist.temple.edu/~vucetic/cis526fall2003/SVMintro.pdf}, biburl = {http://www.bibsonomy.org/bibtex/28083bda55e1a6aab3d0b091ce56d699a/hotho}, keywords = {learning kernel svm classification} } @incollection{TM05, title = {Text Categorization}, address = {Southampton, UK}, author = {Fabrizio Sebastiani}, booktitle = {Text Mining and its Applications to Intelligence, CRM and Knowledge Management}, editor = {Alessandro Zanasi}, pages = {109--129}, publisher = {WIT Press}, year = 2005, url = {http://www.isti.cnr.it/People/F.Sebastiani/Publications/TM05.pdf}, biburl = {http://www.bibsonomy.org/bibtex/23b839b06f8139db217a9eb61d6015fc0/hotho}, keywords = {text application categorization classification} } @article{Lew04, title = {RCV1: A New Benchmark Collection for Text Categorization Research}, author = {D. D. Lewis and Y. Yang and T. G. Rose and F. Li}, journal = {Journal of Machine Learning Research}, number = {Apr}, pages = {361--397}, volume = 5, year = 2004, url = {http://www.jmlr.org/papers/volume5/lewis04a/lewis04a.pdf}, biburl = {http://www.bibsonomy.org/bibtex/20db455903d09c97f4f6ccbfb95c66f9e/hotho}, keywords = {benchmark reuters RCV1 corpus classification text} } @article{rose2002rcv, title = {{The reuters corpus volume 1-from yesterday’s news to tomorrow’s language resources}}, author = {T.G. Rose and M. Stevenson and M. Whitehead}, journal = {Proceedings of the Third International Conference on Language Resources and Evaluation}, pages = {29--31}, year = 2002, url = {http://about.reuters.com/researchandstandards/corpus/LREC_camera_ready.pdf}, biburl = {http://www.bibsonomy.org/bibtex/2b88233fe20a4454a2af000ad260166e7/hotho}, keywords = {reuters text RCV1 classification} }