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Jiawei Han, Micheline Kamber and Jian Pei

Data Mining: Concepts and Techniques, 3rd ed.

The Morgan Kaufmann Series in Data Management Systems
Morgan Kaufmann Publishers, July 2011. ISBN 978-0123814791

 


We are living in the data deluge age. The Data Mining: Concepts and Techniques shows us how to find useful knowledge in all that data. This Third Edition significantly expands the core chapters on data preprocessing, frequent pattern mining, classification, and clustering. The bookIt also comprehensively covers OLAP and outlier detection, and examines mining networks, complex data types, and important application areas. The book, with its companion website, would make a great textbook for analytics, data mining, and knowledge discovery courses.

-Gregory Piatetsky-Shapiro, President, KDnuggets

 

Jiawei, Micheline, and Jian give an encyclopaedic coverage of all the related methods, from the classic topics of clustering and classification, to database methods (association rules, data cubes) to more recent and advanced topics (SVD/PCA , wavelets, support vector machines).. Overall, it is an excellent book on classic and modern data mining methods alike, and it is ideal not only for teaching, but as a reference book.

-From the foreword by Christos Faloutsos, Carnegie Mellon University.


Table of Contents in PDF

Slides (in PowerPoint form)

Instructors' manual (Note: Please contact the Publisher to get the manual if you are an instructor of a course. Authors will not release the manual upon any request)

Bibliographic Notes and Bibliography (per chapter in PDF)

IlliMine (Data mining software from the University of Illinois at Urbana-Champaign)

Errata

BK2_Slides (in PowerPoint form)


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