Publications

Timothy N. Rubin, America Chambers, Padhraic Smyth, и Mark Steyvers. Statistical Topic Models for Multi-Label Document Classification. 2011. [PUMA: mining model text tm topic toread] URL

Gregory Crane. What Do You Do with a Million Books?. D-Lib Magazine, (12)3Март 2006. [PUMA: Book Mining Text google tm toread] URL

Ronen Feldman, и James Sanger. The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data. Cambridge University Press, 2007. [PUMA: mining text tm] URL

Anna Huang, David N. Milne, Eibe Frank, и Ian H. Witten. Clustering Documents Using a Wikipedia-Based Concept Representation.. In Thanaruk Theeramunkong, Boonserm Kijsirikul, Nick Cercone, и Tu Bao Ho (Ред.), PAKDD, (5476):628-636, Springer, 2009. [PUMA: background clustering knowledge ontology tm wikipedia] URL

P. Carpena, P. Bernaola-Galván, M. Hackenberg, A. V. Coronado, и J. L. Oliver. Level statistics of words: Finding keywords in literary texts and symbolic sequences. Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), (79)3:035102, APS, 2009. [PUMA: analysis extraction keyword statistical text tm topic toread] URL

Gerhard Heyer, Uwe Quasthoff, и Thomas Wittig. Text Mining: Wissensrohstoff Text. IT lernen, XII, 348 S., W3L-Verl., Herdecke ; Bochum, 2008. [PUMA: einführung mining text tm] URL

Fabrice Colas, и Pavel Brazdil. On the Behavior of SVM and Some Older Algorithms in Binary Text Classification Tasks. Text, Speech and Dialogue, 45--52, 2006. [PUMA: classification knn nb preprocessing svm text tm toread] URL

Sholom M. Weiss, Nitin Indurkhya, и T. Zhang. Text Mining. Predictive Methods for Analyzing Unstructured Information. Springer, Berlin, 2004. [PUMA: dm mining nlp software text tm] URL

From Web to Social Web: Discovering and Deploying User and Content Profiles. In B. Berendt, A. Hotho, D. Mladenic, и G. Semeraro (Ред.), LNCS, (4736)Springer, 2007. [PUMA: 2007 data dm mining myown social tm web] URL

Andreas Hotho, Alexander Maedche, и Steffen Staab. Text Clustering Based on Good Aggregations. ICDM '01: Proceedings of the 2001 IEEE International Conference on Data Mining, 607--608, IEEE Computer Society, Washington, DC, USA, 2001. [PUMA: 2001 clustering gruppenbildung kmeans myown ontology text tm] URL