TY  - BOOK
AU  - Bhatia,Parteek
TI  - Data mining and data warehousing: principles and practical techniques 
SN  - 9781108727747
U1  - 006.312 
PY  - 2019///
CY  - New York
PB  - Cambridge University Press
KW  - Data mining
KW  - Textbooks
KW  - Data warehousing
N1  - Includes bibliographical references and index
N2  - "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"--
ER  -