Skip to Content
Data Mining: Concepts and Techniques, 3rd Edition
book

Data Mining: Concepts and Techniques, 3rd Edition

by Jiawei Han, Micheline Kamber, Jian Pei
June 2011
Beginner to intermediate content levelBeginner to intermediate
744 pages
25h 11m
English
Morgan Kaufmann
Content preview from Data Mining: Concepts and Techniques, 3rd Edition

Foreword

Christos Faloutsos

Carnegie Mellon University

Analyzing large amounts of data is a necessity. Even popular science books, like “super crunchers,” give compelling cases where large amounts of data yield discoveries and intuitions that surprise even experts. Every enterprise benefits from collecting and analyzing its data: Hospitals can spot trends and anomalies in their patient records, search engines can do better ranking and ad placement, and environmental and public health agencies can spot patterns and abnormalities in their data. The list continues, with cybersecurity and computer network intrusion detection; monitoring of the energy consumption of household appliances; pattern analysis in bioinformatics and pharmaceutical data; ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Practical Statistics for Data Scientists, 2nd Edition

Practical Statistics for Data Scientists, 2nd Edition

Peter Bruce, Andrew Bruce, Peter Gedeck
Fundamentals of Data Engineering

Fundamentals of Data Engineering

Joe Reis, Matt Housley
Fundamentals of Data Engineering

Fundamentals of Data Engineering

Joe Reis, Matt Housley

Publisher Resources

ISBN: 9780123814791