02795nam 2200601 a 450 991082508010332120200520144314.01-281-78887-2978661178887281-224-2432-5(CKB)1000000000690463(EBL)358037(OCoLC)310746515(SSID)ssj0000673816(PQKBManifestationID)11482365(PQKBTitleCode)TC0000673816(PQKBWorkID)10645795(PQKB)11590793(MiAaPQ)EBC358037(Au-PeEL)EBL358037(CaPaEBR)ebr10323316(CaONFJC)MIL178887(EXLCZ)99100000000069046320091006d2007 uy 0engur|n|---|||||txtccrData mining and warehousing /S. Prabhu, N. Venkatesan1st ed.New Delhi New Age International (P) Ltd., Publishersc20071 online resource (144 p.)Description based upon print version of record.81-224-1972-0 Includes bibliographical references and index.Cover; Preface; Contents; Chapter 1 Data Mining and Warehousing Concepts; Chapter 2 Learning and Types of Knowledge; Chapter 3 Knowledge Discovery Process; Chapter 4 Data Mining Techniques; Chapter 5 Real Time Applications and Future Scope; Chapter 6 Data Warehouse Evaluation; Chapter 7 Data Warehouse Design; Chapter 8 Partitioning in Data Warehouse; Chapter 9 Data Mart and Meta Data; Chapter 10 Backup and Recovery of the Data Warehouse; Chapter 11 Performance Tuning and Future of data Warehouse; Appendix A Glossary; Appendix B Multiple Choice Questions; Appendix C Questions & AnswersAppendix D Model Question PapersBibliography; IndexData 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, stagesData miningData warehousingData mining.Data warehousing.005.74Prabhu S1673547Venkatecan Na1673548MiAaPQMiAaPQMiAaPQBOOK9910825080103321Data mining and warehousing4037694UNINA