Data Mining And Data Warehousing: Principles And Practical Techniques

Cambridge University Press
SKU:
9781108727747
|
UPC:
9781108727747
$87.62
(No reviews yet)
Condition:
New
Usually Ships in 24hrs
Current Stock:

Out of stock

Out of Stock
Written in lucid language, this valuable textbook brings together fundamental concepts of data mining and data warehousing in a single volume. Important topics including information theory, decision tree, Nave Bayes classifier, distance metrics, partitioning clustering, associate mining, data marts and operational data store are discussed comprehensively. The 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. 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. Pedagogical features including unsolved problems and multiple-choice questions are interspersed throughout the book for better understanding.


  • | Author: Parteek Bhatia
  • | Publisher: Cambridge University Press
  • | Publication Date: Jun 27, 2019
  • | Number of Pages: 506 pages
  • | Language: English
  • | Binding: Paperback
  • | ISBN-10: 1108727743
  • | ISBN-13: 9781108727747
Author:
Parteek Bhatia
Publisher:
Cambridge University Press
Publication Date:
Jun 27, 2019
Number of pages:
506 pages
Language:
English
Binding:
Paperback
ISBN-10:
1108727743
ISBN-13:
9781108727747