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Bloehdorn and W. Buntine and A. Hotho}, editor = {S. Bloehdorn and W. Buntine and A. 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It focuses on the information and application layers, as well as some of the emerging properties of the Internet.  Provides a comprehensive introduction to the modeling of the Internet and the Web at the information level.  Takes a modern approach based on mathematical, probabilistic, and graphical modeling.  Provides an integrated presentation of theory, examples, exercises and applications.  Covers key topics such as text analysis, link analysis, crawling techniques, human behaviour, and commerce on the Web. Interdisciplinary in nature, Modeling the Internet and the Web will be of interest to students and researchers from a variety of disciplines including computer science, machine learning, engineering, statistics, economics, business, and the social sciences.}, biburl = {http://www.bibsonomy.org/bibtex/23e4e2899e7d6988218d02a264bcfe24a/hotho}, keywords = {kdd web dm ml mining KI2007WebMining} } @article{wikipediaxml:2005, title = {{T}he {W}ikipedia {X}{M}{L} {C}orpus}, author = {Ludovic Denoyer and Patrick Gallinari}, journal = {SIGIR Forum}, year = 2006, url = {http://www-connex.lip6.fr/~denoyer/wikipediaXML/}, description = {Wikipedia XML Corpus}, biburl = {http://www.bibsonomy.org/bibtex/2493b849942fcaf9ba8e8e68e3cb46d38/hotho}, keywords = {mining dm ml wikipedia corpus data xml} } @book{Qui93, title = {{C4.5 Programs for Machine Learning}}, author = {J. R. 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Essex, UK}, volume = 165, year = 2005, url = {http://www.cs.washington.edu/homes/etzioni/papers/knowitall-aij.pdf}, biburl = {http://www.bibsonomy.org/bibtex/27c9034b7b0b547cf819c8998062db7f8/hotho}, keywords = {ml learning ie unsupervised} } @book{citeulike:340715, title = {Data Mining: Practical Machine Learning Tools and Techniques}, author = {Ian H. Witten and Eibe Frank}, edition = {Second}, howpublished = {Paperback}, month = {June}, publisher = {Morgan Kaufmann}, series = {Morgan Kaufmann Series in Data Management Sys}, year = 2005, url = {http://www.amazon.fr/exec/obidos/ASIN/0120884070/citeulike04-21}, id = {340715}, priority = {0}, isbn = {0120884070}, biburl = {http://www.bibsonomy.org/bibtex/257ade2d873735d4c54d44365dafa7605/hotho}, keywords = {weka ml mining data} } @inproceedings{conf/ecml/DrostS05, title = {Thwarting the Nigritude Ultramarine: Learning to Identify Link Spam.}, author = {Isabel Drost and Tobias Scheffer}, booktitle = {ECML}, pages = {96-107}, year = 2005, url = {http://dblp.uni-trier.de/db/conf/ecml/ecml2005.html#DrostS05}, ee = {http://dx.doi.org/10.1007/11564096_14}, description = {dblp}, biburl = {http://www.bibsonomy.org/bibtex/2243303d890cd0f999d78b1a7e148e38c/hotho}, keywords = {ml rank spam link mining} } @techreport{otterlo2006reinforcement, title = {A Survey of Reinforcement Learning in Relational Domains}, author = {M. van Otterlo}, month = {July}, publisher = {CTIT Technical Report, TR-CTIT-05-31}, year = 2006, url = {http://www.ub.utwente.nl/webdocs/ctit/1/00000137.pdf}, issn = {1381-3625}, biburl = {http://www.bibsonomy.org/bibtex/2cdeed04e46c23f5c22add8a192d9c48b/hotho}, keywords = {learning relational ml survey reinforcement} } @book{mitchell97, title = {Machine Learning}, author = {Tom M. Mitchell}, publisher = {McGraw-Hill}, year = 1997, biburl = {http://www.bibsonomy.org/bibtex/23e79734ee1a6e49aee02ffd108224d1c/hotho}, keywords = {lecture kdd 2006 dm ml introduction survey} } @inproceedings{conf/kr/CohenH94, title = {Learning the Classic Description Logic: Theoretical and Experimental Results.}, author = {William W. Cohen and Haym Hirsh}, booktitle = {KR}, pages = {121-133}, year = 1994, url = {http://www.cs.cmu.edu/~wcohen/postscript/kr-94.ps}, isbn = {1-55860-554-1}, description = {dblp}, biburl = {http://www.bibsonomy.org/bibtex/212c5b9d272c941d934bd3dfcc69c37f5/hotho}, keywords = {logic dl ml machine description learning} } @article{journals/ml/CohenH94, title = {The Learnability of Description Logics with Equality Constraints.}, author = {William W. Cohen and Haym Hirsh}, journal = {Machine Learning}, number = {2-3}, pages = {169-199}, volume = 17, year = 1994, url = {http://www.cs.cmu.edu/~wcohen/postscript/kr-94.ps}, ee = {http://www.kuenstliche-intelligenz.de/Artikel/CommonPatternsinITSArchitectures.htm}, description = {dblp}, biburl = {http://www.bibsonomy.org/bibtex/2482edb5b3b5ede9a0e3be638db81e9fd/hotho}, keywords = {ml learning machine logic dl description} } @article{griffiths2004finding, title = {Finding scientific topics}, author = {Thomas L. Griffiths and Mark Steyvers}, year = 2004, url = {http://www.pnas.org/cgi/content/abstract/101/suppl_1/5228}, biburl = {http://www.bibsonomy.org/bibtex/2cbfda2e50bd63357890b9181d8883826/hotho}, keywords = {ml trend detection topic for:kde series time} }