Data mining [electronic resource] : concepts and techniques / Jiawei Han, Micheline Kamber.

Includes bibliographical references (p. 703-743) and index.

Introduction -- Data preprocessing -- Data warehouse and OLAP technology : an overview -- Data cube computation and data generalization -- Mining frequent patterns, associations, and correlations -- Classification and prediction -- Cluster analysis -- Mining stream, time-series, and sequence data -- Graph mining, social network analysis, and multirelational data mining -- Mining object, spatial, multimedia, text, and web data -- Applications and trends in data mining -- Appendix. An introduction to Microsoft's OLE DB for data mining.

Our ability to generate and collect data has increased. This book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. It includes chapters that address the developments on mining complex types of data.