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Author Prabhu, S
Title Data Mining and Warehousing
Imprint Daryaganj : New Age International Ltd, 2006
©2007
book jacket
Edition 1st ed
Descript 1 online resource (144 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Note Cover -- Preface -- Contents -- Chapter 1 Data Mining and Warehousing Concepts -- 1.1 Introduction -- 1.2 Data Mining Definitions -- 1.3 Data Mining Tools -- 1.4 Applications of Data Mining -- 1.5 Data Warehousing and Characteristics -- 1.6 Data Warehouse Architecture -- Exercise -- Chapter 2 Learning and Types of Knowledge -- 2.1 Introduction -- 2.2 What is Learning? -- 2.3 Anatomy of Data Mining -- 2.4 Different Types of Knowledge -- Exercise -- Chapter 3 Knowledge Discovery Process -- 3.1 Introduction -- 3.2 Evaluation of Data Mining -- 3.3 Stages of the Data Mining Process -- 3.4 Data Mining Operations -- 3.5 Architecture of Data Mining -- Exercise -- Chapter 4 Data Mining Techniques -- 4.1 Introduction -- 4.2 Classification -- 4.3 Neural Networks -- 4.4 Decision Trees -- 4.5 Genetic Algorithm -- 4.6 Clustering -- 4.7 Online Analytic Processing (OLAP) -- 4.8 Association Rules -- 4.9 Emerging Trends in Data Mining -- 4.10 Data Mining Research Projects -- Exercise -- Chapter 5 Real Time Applications and Future Scope -- 5.1 Applications of Data Mining -- 5.2 Future Scope -- 5.3 Data Mining Products -- Exercise -- Chapter 6 Data Warehouse Evaluation -- 6.1 The Calculations for Memory Capacity -- 6.2 Data, Information and Knowledge -- 6.3 Fundamental of Database -- 6.4 OLAP And OLAP Server -- 6.5 Data Warehouses, OLTP, OLAP and Data Mining -- Exercise -- Chapter 7 Data Warehouse Design -- 7.1 Introduction -- 7.2 The Central Data Warehouse -- 7.3 Data Warehousing Objects -- 7.4 Goals of Data Warehouse Architecture -- 7.5 Data Warehouse Users -- 7.6 Design the Relational Database and OLAP Cubes -- 7.7 Data Warehousing Schemas -- Exercise -- Chapter 8 Partitioning in Data Warehouse -- 8.1 Introduction -- 8.2 Hardware Partitioning -- 8.3 RAID Levels -- 8.4 Software Partitioning Methods -- Exercise -- Chapter 9 Data Mart and Meta Data
9.1 Introduction -- 9.2 Data Mart -- 9.3 Meta Data -- 9.4 Legacy Systems -- Exercise -- Chapter 10 Backup and Recovery of the Data Warehouse -- 10.1 Introduction -- 10.2 Types of Backup -- 10.3 Backup the Data Warehouse -- 10.4 Data Warehouse Recovery Models -- Exercise -- Chapter 11 Performance Tuning and Future of data Warehouse -- 11.1 Introduction -- 11.2 Prioritized Tuning Steps -- 11.3 Challenges of the Data Warehouse -- 11.4 Benefits of Data Warehousing -- 11.5 Future of the Data Warehouse -- 11.6 New Architecture of Data Warehouse -- Exercise -- Appendix A Glossary -- Appendix B Multiple Choice Questions -- Appendix C Questions & Answers -- Appendix D Model Question Papers -- Bibliography -- Index
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
Description based on publisher supplied metadata and other sources
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2020. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
Link Print version: Prabhu, S. Data Mining and Warehousing Daryaganj : New Age International Ltd,c2006 9788122419726
Subject Data mining.;Data warehousing
Electronic books
Alt Author Venkatesan, N
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