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Data mining and warehousing /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Prabhu, S.
Otros Autores: Venatesan, N.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New Delhi : New Age International, ©2007.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Data mining and warehousing /  |c S. Prabhu, N. Venatesan. 
260 |a New Delhi :  |b New Age International,  |c ©2007. 
300 |a 1 online resource 
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500 |a Title from PDF title page (viewed February 25, 2009). 
504 |a Includes bibliographical references (pages 125-126) and index. 
520 |a 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. 
505 0 |a 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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650 0 |a Data warehousing. 
650 2 |a Data Mining 
650 6 |a Exploration de données (Informatique) 
650 6 |a Entrepôts de données (Informatique) 
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