02545nam a2200397 a 4500 00014089 WSP 20260416153418.0 cr |nu|||unuuu 250721s2025 si ob 001 0 eng d WSPC eng WSPC 9789819803132 (ebook) 9819803136 (ebook) 9789819803125 (hbk.) QA76.9.D343 .V694 COM 094000 bisacsh COM 021040 bisacsh COM 021030 bisacsh 006.312 23 MAIN Vijayakumar, P. Data mining and warehousing techniques with machine learning concepts / P Vijayakumar, L Jegatha Deborah. Singapore : World Scientific, 2025. 1 online resource (532 p.) Introduction -- Data warehousing basic concepts -- Designing data warehouses -- Partitioning and parallelism in data warehouses -- Overview of data mining -- Knowledge representation and knowledge discovery -- Data mining techniques -- Machine learning using classification -- Machine learning using clustering -- Association rules. Includes bibliographical references and index. "This unique compendium elaborates the basic perceptions of data warehouses and data mining. The former part of the book covers concepts like introduction to data warehouses, the need for using such data warehouses and key terminologies used in this framework. The latter part of the book covers the data mining concepts and the data mining techniques used in various applications and also explains the machine learning techniques in detail with suitable examples wherever essential. The book is written in simple English and is user-friendly. Each chapter is modeled with several sample scenarios and illustrations wherever necessary. The complete contents of each chapter include chapter technical content, summary, key points to remember, and few case studies for class group discussions and problem-solving. This volume clearly benefits professionals, academicians, data analysts, machine-learning community, undergraduate and postgraduate students"-- Publisher's website. System requirements: Adobe Acrobat reader. Mode of access: World Wide Web. Data mining. Data warehousing. Electronic books. Deborah, L. Jegatha. https://www.worldscientific.com/worldscibooks/10.1142/14089#t=toc E-BOOK 49796 49796 0 0 ddc 0 0 CUTN CUTN 2026-04-16 0 006.312 EB04946 2026-04-16 15:42:00 https://doi.org/10.1142/14089 2026-04-16 E-BOOK