| Description |
xxiv, 550 pages : illustrations ; 25 cm |
| Series |
The Morgan Kaufmann series in data management systems |
|
Morgan Kaufmann series in data management systems.
|
| Contents |
Machine derived contents note: Table of contents for Data mining : concepts and techniques / Jiawei Han and Micheline Kamber. -- Bibliographic record and links to related information available from the Library of Congress catalog -- Information from electronic data provided by the publisher. May be incomplete or contain other coding. -- 1 Introduction -- 2 Data Warehouse and OLAP Technology for Data Mining -- 3 Data Preparation -- 4 Data Mining Primitives, Languages, and System Architectures -- 5 Concept Description: Characterization and Comparison -- 6 Mining Association Rules in Large Databases -- 7 Classification and Prediction -- 8 Cluster Analysis -- 9 Mining Complex Types of Data -- 10 Data Mining Applications and Trends in Data Mining -- Appendix A An Introduction to Microsoft's OLE DB for Data Mining -- Appendix B An Introduction to DBMiner -- Bibliography -- Library of Congress subject headings for this publication: Data mining |
| Summary |
"Here's the resource you need if you want to apply today's most powerful data mining techniques to meet real business challenges. Data Mining: Concepts and Techniques equips you with a sound understanding of data mining principles and teaches you proven methods for knowledge discovery in large corporate databases." "Written expressly for database practitioners and professionals, this book begins with a conceptual introduction designed to get you up to speed. This is followed by a comprehensive and state-of-the-art coverage of data mining concepts and techniques. Each chapter functions as 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. Wherever possible, the authors raise and answer questions of utility, feasibility, optimization, and scalability, keeping your eye on the issues that will affect your project's results and your overall success." "Data Mining: Concepts and Techniques is the master reference that practitioners and researchers have long been seeking. It is also the obvious choice for academic and professional classrooms."--BOOK JACKET |
| Bibliography |
Includes bibliographical references (pages 501-531) and index |
| Notes |
English |
| Subject |
Data mining.
|
|
Includes bibliographical references and index
|
| Author |
Kamber, Micheline.
|
| LC no. |
00042822 |
| ISBN |
1558604898 |
|
