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Artificial intelligence : a modern approach / Stuart Jonathan Russell, Peter Norvig; et al
New Jersey : Pearson, 2010
xviii, 1132 p. : ill. ; 29 cm.

For one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. View chapters 3 and 4 from the Third Edition.
2
Data mining : concepts and techniques / Jiawei Han, Micheline Kamber, Jian Pei.
Amsterdam ; Boston : Elsevier/Morgan Kaufmann, 2011
1 online resource (xxxv, 703 pages) : ill. ; 29 cm.

Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also focuses on new, important topics in the field: data warehouses and data cube technology, mining stream, mining social networks, and mining spatial, multimedia and other complex data. Each chapter is a stand-alone guide to a critical topic, presenting proven algorithms and sound implementations ready to be used directly or with strategic modification against live data. This is the resource you need if you want to apply today's most powerful data mining techniques to meet real business challenges.