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.
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)
BK2_Slides (in PowerPoint form)