TY - BOOK ID - 136927596 TI - Encyclopedia of Machine Learning and Data Mining AU - Sammut, Claude. AU - Webb, Geoffrey I. PY - 2017 PB - New York, NY : Springer US : Imprint: Springer, DB - UniCat KW - Artificial intelligence. KW - Data mining. KW - Mathematical statistics KW - Pattern recognition systems. KW - Artificial Intelligence. KW - Data Mining and Knowledge Discovery. KW - Statistics and Computing. KW - Automated Pattern Recognition. KW - Data processing. UR - https://www.unicat.be/uniCat?func=search&query=sysid:136927596 AB - This authoritative, expanded and updated second edition of Encyclopedia of Machine Learning and Data Mining provides easy access to core information for those seeking entry into any aspect within the broad field of Machine Learning and Data Mining. A paramount work, its 800 entries - about 150 of them newly updated or added - are filled with valuable literature references, providing the reader with a portal to more detailed information on any given topic. Topics for the Encyclopedia of Machine Learning and Data Mining include Learning and Logic, Data Mining, Applications, Text Mining, Statistical Learning, Reinforcement Learning, Pattern Mining, Graph Mining, Relational Mining, Evolutionary Computation, Information Theory, Behavior Cloning, and many others. Topics were selected by a distinguished international advisory board. Each peer-reviewed, highly-structured entry includes a definition, key words, an illustration, applications, a bibliography, and links to related literature. The entries are expository and tutorial, making this reference a practical resource for students, academics, or professionals who employ machine learning and data mining methods in their projects. Machine learning and data mining techniques have countless applications, including data science applications, and this reference is essential for anyone seeking quick access to vital information on the topic. ER -