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Data mining : concepts and techniques

Author: Jiawei Han; Micheline Kamber
Publisher: San Francisco, Calif. : Kaufmann, 2001.
Series: Morgan Kaufmann series in data management systems.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

Aims to equip you with an understanding of data mining principles and teach you proven methods for knowledge discovery in large corporate databases. Written for database practitioners and  Read more...

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Document Type: Book
All Authors / Contributors: Jiawei Han; Micheline Kamber
ISBN: 1558604898 9781558604896
OCLC Number: 247171752
Notes: Literaturverz. S. 501 - 531.
Description: XXIV, 550 Seiten : Diagramme.
Contents: 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
Series Title: Morgan Kaufmann series in data management systems.
Responsibility: Jiawei Han ; Micheline Kamber.

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"many excellent features" -- Tony Jenkins,Vice Chairman, British Computer Society's, Data Management Specialist Group

 
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