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" Data mining and warehousing / "
S. Prabhu, N. Venatesan.
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BL
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| Record Number
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1024331
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b778701
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| Main Entry
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Prabhu, S.
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| Title & Author
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Data mining and warehousing /\ S. Prabhu, N. Venatesan.
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| Publication Statement
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New Delhi :: New Age International,, ©2007.
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1 online resource
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| ISBN
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1281788872
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: 8122419720
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: 8122424325
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: 9781281788870
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: 9788122419726
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: 9788122424324
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9788122419726
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| Notes
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Title from PDF title page (viewed Feb. 25, 2009).
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| Bibliographies/Indexes
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Includes bibliographical references (pages 125-126) and index.
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| Contents
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Cover13; -- Copyright -- Dedication -- Preface -- Acknowledgement -- Contents -- Chapter 1 Data Mining and Warehousing Concepts -- 1.1 Introduction13; -- 1.2 Data Mining Definitions13; -- 1.3 Data Mining Tools13; -- 1.4 Applications of Data Mining13; -- 1.5 Data Warehousing and Characteristics13; -- 1.6 Data Warehouse Architecture13; -- Exercise13; -- Chapter 2 Learning and Types of Knowledge -- 2.1 Introduction13; -- 2.2 What is Learning?13; -- 2.3 Anatomy of Data Mining13; -- 2.4 Different Types of Knowledge13; -- Exercise13; -- Chapter 3 Knowledge Discovery Process -- 3.1 Introduction13; -- 3.2 Evaluation of Data Mining13; -- 3.3 Stages of the Data Mining Process13; -- 3.4 Data Mining Operations13; -- 3.5 Architecture of Data Mining13; -- Exercise13; -- Chapter 4 Data Mining Techniques -- 4.1 Introduction13; -- 4.2 Classification13; -- 4.3 Neural Networks13; -- 4.4 Decision Trees13; -- 4.5 Genetic Algorithm13; -- 4.6 Clustering13; -- 4.7 Online Analytic Processing (OLAP)13; -- 4.8 Association Rules13; -- 4.9 Emerging Trends in Data Mining13; -- 4.10 Data Mining Research Projects13; -- Exercise13; -- Chapter 5 Real Time Applications and Future Scope -- 5.1 Applications of Data Mining13; -- 5.2 Future Scope13; -- 5.3 Data Mining Products13; -- Exercise13; -- Chapter 6 Data Warehouse Evaluation -- 6.1 The Calculations for Memory Capacity13; -- 6.2 Data, Information and Knowledge13; -- 6.3 Fundamental of Database13; -- 6.4 OLAP And OLAP Server13; -- 6.5 Data Warehouses, OLTP, OLAP and Data Mining13; -- Exercise13; -- Chapter 7 Data Warehouse Design -- 7.1 Introduction13; -- 7.2 The Central Data Warehouse13; -- 7.3 Data Warehousing Objects13; -- 7.4 Goals of Data Warehouse Architecture13; -- 7.5 Data Warehouse Users13; -- 7.6 Design the Relational Database and OLAP Cubes13; -- 7.7 Data Warehousing Schemas13; -- Exercise13; -- Chapter 8 Partitioning in Data Warehouse -- 8.1 Introduction13; -- 8.2 Hardware Partitioning13; -- 8.3 RAID Levels13; -- 8.4 Software Partitioning Methods13; -- Exercise13; -- Chapter 9 Data Mart and Meta Data -- 9.1 Introduction13; -- 9.2 Data Mart13; -- 9.3 Meta Data13; -- 9.4 Legacy Systems13; -- Exercise13; -- Chapter 10 Backup and Recovery of the Data Warehouse -- 10.1 Introduction13; -- 10.2 Types of Backup13; -- 10.3 Backup the Data Warehouse13; -- 10.4 Data Warehouse Recovery Models13; -- Exercise13; -- Chapter 11 Performance Tuning and Future of data Warehouse -- 11.1 Introduction13; -- 11.2 Prioritized Tuning Steps13; -- 11.3 Challenges of the Data Warehouse13; -- 11.4 Benefits of Data Warehousing13; -- 11.5 Future of the Data Warehouse13; -- 11.6 New Architecture of Data Warehouse13; -- Exercise13; -- Appendix A Glossary -- Appendix B Multiple Choice Questions13; -- Appendix C Questions & Answers13; -- Appendix D Model Question Papers13; -- Bibliography -- Index.
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| Abstract
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Data Mining is the process of analyzing large amount of data in search of previously undiscovered business patterns. Data Warehousing is a relational/multidimensional database that is designed for Query and Analysis rather than Transaction Processing. This book provides a systematic introduction to the principles of Data Mining and Data Warehousing. It covers the entire range of data mining algorithms (prediction, classification, and association), data mining products and applications, stages.
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| Subject
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Data mining.
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Data warehousing.
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COMPUTERS-- Database Management-- Data Mining.
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Data mining.
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Data warehousing.
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| Dewey Classification
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006.3/12
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| LC Classification
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QA76.9.D343P73 2007eb
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| Added Entry
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Venatesan, N.
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