02185cam a2200325 i 4500 20922191 OSt 20230718095237.0 190403s2019 enka b 001 0 eng c 2019013358 9781108727747 (pbk. ; alk. paper) cuk eng cuk cuk DLC pcc QA76.9.D343 B435 2019 006.3/12 23 Bhatia, Parteek, author. Data Mining and Data Warehousing : Principles and Practical Techniques / Parteek Bhatia. Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2019. xxxiv, 477 pages : illustrations (some color) ; 24 cm text rdacontent unmediated rdamedia volume rdacarrier Includes bibliographical references and index. "This textbook is written to cater to the needs of undergraduate students of computer science, engineering, and information technology for a course on data mining and data warehousing. It brings together fundamental concepts of data mining and data warehousing in a single volume. Important topics including information theory, decision tree, Naïve Bayes classifier, distance metrics, partitioning clustering, associate mining, data marts and operational data store are discussed comprehensively. The text simplifies the understanding of the concepts through exercises and practical examples. Chapters such as classification, associate mining and cluster analysis are discussed in detail with their practical implementation using Weka and R language data mining tools. Advanced topics including big data analytics, relational data models, and NoSQL are discussed in detail. Unsolved problems and multiple-choice questions are interspersed throughout the book for better understanding"-- Provided by publisher. Data mining Textbooks. Data warehousing Textbooks. 7 cbc orignew 1 ecip 20 y-gencatlg lcc BOOK 10107 10107 0 0 lcc 0 0 001 001 2023-07-18 PURCHASE 0 QA76.9.D343 B435 2019 2023-0289 2023-07-18 00:00:00 1 2023-07-18 BOOK 0 0 lcc 0 0 001 001 2023-07-18 PURCHASE 0 QA76.9.D343 B435 2019 2023-0290 2023-07-18 00:00:00 2 2023-07-18 BOOK