%0 
%0 Conference Proceedings
%A Han, Eui-Hong & Karypis, George
%D 2000
%T Centroid-Based Document Classification: Analysis and Experimental Results.
%E Zighed, Djamel A.; Komorowski, Henryk Jan & Zytkow, Jan M.
%B PKDD
%C 
%I Springer
%V 1910
%6
%N 
%P 424-431
%& 
%Y 
%S Lecture Notes in Computer Science
%7
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%@ 3-540-41066-X
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%3 inproceedings
%4 conf/pkdd/2000
%# 
%$ 
%F han2000rocchio
%K average classification classifier cos cosinus interpretation klassifikation learning loose machine rocchio similarity simple tight 
%X 
%Z 
%U http://glaros.dtc.umn.edu/gkhome/fetch/papers/centroidPKDD00.pdf
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%^

%0 
%0 Generic
%A Koppel, M.; Argamon, S. & Shimoni, A.
%D 2003
%T Automatically Categorizing Written Texts by Author Gender
%E
%B 
%C
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%F koppel03automatically
%K classification gender geschlecht klassifikation text 
%X 
%Z 
%U http://citeseer.ist.psu.edu/koppel03automatically
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%^

%0 
%0 Conference Proceedings
%A Lauser, Boris & Hotho, Andreas
%D 2003
%T Automatic multi-label subject indexing in a multilingual environment
%E 
%B Proc. of the 7th European Conference in Research and Advanced Technology for Digital Libraries, ECDL 2003
%C 
%I Springer
%V 2769
%6
%N 
%P 140-151
%& 
%Y 
%S LNCS
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%F lauser03
%K classification hotho multilabel svm 
%X 
%Z 
%U http://citeseer.ist.psu.edu/lauser03automatic.html
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%^

%0 
%0 Generic
%A Mathes, Adam
%D 2004
%T Folksonomies - Cooperative Classification and Communication Through Shared Metadata
%E
%B 
%C
%I online
%V 
%6
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%$ 
%F mathes2004
%K categorization classification communication cons core difference dublin expert folksonomy metadata pros tag unterschied 
%X 
%Z 
%U http://www.adammathes.com/academic/computer-mediated-communication/folksonomies.html
%+
%^

%0 
%0 Conference Proceedings
%A McCallum, Andrew & Nigam, Kamal
%D 1998
%T A Comparison of Event Models for Naive Bayes Text Classification
%E 
%B Learning for Text Categorization: Papers from the 1998 {AAAI} Workshop 
%C 
%I 
%V 
%6
%N 
%P 41--48
%& 
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%S 
%7
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%4 
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%$ 
%F mccallum1998naive
%K bayes bernoulli classification ereignis event model multinomial naive text vergleich 
%X 
%Z 
%U http://www.kamalnigam.com/papers/multinomial-aaaiws98.pdf
%+
%^

%0 
%0 Generic
%A McCallum, Andrew Kachites
%D 1999
%T Multi-Label Text Classification with a Mixture Model Trained by EM
%E
%B 
%C
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%F mccallum-multilabel
%K bayes classification model multilabel nativ native probabilistic probabilistisch 
%X 
%Z 
%U http://citeseer.ist.psu.edu/mccallum99multilabel.html
%+
%^

%0 
%0 Conference Proceedings
%A Schapire, Robert E.; Singer, Yoram & Singhal, Amit
%D 1998
%T Boosting and Rocchio applied to text filtering.
%E 
%B Proceedings of {SIGIR}-98, 21st {ACM} International Conference on Research and Development in Information Retrieval
%C Melbourne, Australia
%I ACM Press, New York, US
%V 
%6
%N 
%P 215--223
%& 
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%S 
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%F schapire98rocchio
%K classification classifier klassifikator learning machine rocchio shapire 
%X 
%Z 
%U http://singhal.info/rocboost.pdf
%+
%^

%0 
%0 Journal Article
%A Sebastiani, F.
%D 2002
%T Machine learning in automated text categorization
%E 
%B ACM Computing Surveys
%C 
%I 
%V 34
%6
%N 1
%P 1--47
%& 
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%S 
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%F sebastiani2002
%K algorithmen categorization classification kdd klassifikation learning machine sebastiani text vergleich 
%X 
%Z 
%U http://nmis.isti.cnr.it/sebastiani/Publications/ACMCS02.pdf
%+
%^

%0 
%0 Journal Article
%A Tsoumakas, G. & Katakis, I.
%D 2007
%T Multi Label Classification: An Overview
%E 
%B International Journal of Data Warehousing and Mining
%C 
%I 
%V 3
%6
%N 3
%P 1--13
%& 
%Y 
%S 
%7
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%$ 
%F Tsoumakas2007
%K all classification multilabel one overview vs überblick übersicht 
%X Nowadays, multi-label classification methods are increasingly required by modern applications, such as protein function classification, music categorization and semantic scene classification. This paper introduces the task of multi-label classification, organizes the sparse related literature into a structured presentation and performs comparative experimental results of certain multi-label classification methods. It also contributes the definition of concepts for the quantification of the multi-label nature of a data set.
%Z 
%U http://mlkd.csd.auth.gr/publication_details.asp?publicationID=219
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%^

%0 
%0 Conference Proceedings
%A Yang, Yiming & Liu, Xin
%D 1999
%T A re-examination of text categorization methods
%E 
%B SIGIR '99: Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
%C New York, NY, USA
%I ACM Press
%V 
%6
%N 
%P 42--49
%& 
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%S 
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%@ 1-58113-096-1
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%3 inproceedings
%4 
%# 
%$ 
%F yang1999
%K categorization classification evaluation text vergleich yang 
%X 
%Z 
%U http://portal.acm.org/citation.cfm?coll=GUIDE&dl=GUIDE&id=312647
%+
%^