Description: Data Mining and Data Warehousing : Principles and Practical Techniques, Paperback by Bhatia, Parteek, ISBN 1108727743, ISBN-13 9781108727747, Brand New, Free shipping in the US "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 th for better understanding"--
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Book Title: Data Mining and Data Warehousing : Principles and Practical Techn
Number of Pages: 506 Pages
Publication Name: Data Mining and Data Warehousing : Principles and Practical Techniques
Language: English
Publisher: Cambridge University Press
Publication Year: 2019
Subject: Databases / Data Warehousing, Databases / Data Mining, Databases / General
Item Height: 0.8 in
Item Weight: 23.4 Oz
Type: Textbook
Subject Area: Computers
Author: Parteek Bhatia
Item Length: 9.5 in
Item Width: 7.2 in
Format: Trade Paperback
