BibSonomy publications for /user/hotho/mlTue Jun 17 22:30:50 CEST 2008Journal of Applied Ontologyto appearAEON - An Approach to the Automatic Evaluation of Ontologies2008evaluation automatic ml sw 2008 myown ontology Wed Apr 23 13:56:47 CEST 2008Proc. of the Fourth International Workshop on Adversarial Information Retrieval on the WebThe Anti-Social Tagger - Detecting Spam in Social Bookmarking Systems2008folksonomy myown ml mining bookmarking spam dm 2008 classification social Wed Feb 13 12:26:23 CET 2008Künstliche Intelligenz35-8Mining the World Wide Web2007web ml myown mining ki introduction ir 2007 Mon Jan 14 14:47:18 CET 2008Informatica2141-141Introduction to the Special Issue 'Learning in Web Search'302006search ml ir web 2006 Mon Jan 14 09:58:03 CET 2008AUGWorkshop at the 22nd International Conference on Machine Learning (ICML 2005) Proceedings of the Workshop on Learning in Web Search (LWS 2005) 2005web 2005 search ir myown ml Fri Sep 28 16:05:05 CEST 2007Probabilistic Robotics (Intelligent Robotics and Autonomous Agents)2001learning machine probabilistic dm ml Tue Jun 05 09:54:45 CEST 2007JULFrontiers in Artificial IntelligenceOntology Learning from Text: Methods, Evaluation and Applications1232005ml web ol learning semantic dm Fri May 18 19:27:34 CEST 2007Modeling the Internet and the Web: Probabilistic Methods and AlgorithmsAprilModeling the Internet and the Web: Probabilistic Methods and Algorithms2003web kdd ml KI2007WebMining mining dm Modeling the Internet and the Web covers the most important aspects of modeling the Web using a modern mathematical and probabilistic treatment. 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.Wed Jan 17 15:56:27 CET 2007SIGIR Forum{T}he {W}ikipedia {X}{M}{L} {C}orpus2006dm data ml mining wikipedia corpus xml Fri Dec 15 08:08:45 CET 2006{C4.5 Programs for Machine Learning}1993***** entropy learning tree ml decision Fri Oct 27 11:56:43 CEST 2006ACM Computing Surveys11--47Machine learning in automated text categorization342002tm ml classification text survey categorization Fri Jun 23 07:06:19 CEST 2006{UCI} Repository of machine learning databases1998ml machine learning mining dataset uci data dm Fri May 26 10:33:56 CEST 2006Artificial Intelligence191--134{Unsupervised named-entity extraction from the web: An experimental study}1652005ml learning unsupervised ie Mon May 22 13:55:31 CEST 2006SecondPaperbackJuneMorgan Kaufmann Series in Data Management SysData Mining: Practical Machine Learning Tools and Techniques2005ml mining weka data Fri Apr 21 15:58:58 CEST 2006ECML96-107Thwarting the Nigritude Ultramarine: Learning to Identify Link Spam.2005mining ml link rank spam Tue Apr 18 14:59:58 CEST 2006JulyA Survey of Reinforcement Learning in Relational Domains2006reinforcement ml survey learning relational Mon Apr 17 19:22:02 CEST 2006Machine Learning1997survey kdd introduction ml dm 2006 lecture Mon Feb 27 11:27:36 CET 2006KR121-133Learning the Classic Description Logic: Theoretical and Experimental Results.1994dl ml learning logic machine description Mon Feb 27 11:27:26 CET 2006Machine Learning2-3169-199The Learnability of Description Logics with Equality Constraints.171994ml machine description learning dl logic Thu Feb 09 13:03:23 CET 2006Finding scientific topics2004trend detection topic ml for:kde series time