• ALL BOOKS
  • Data Mining and Data Warehousing: Principles and Practical Techniques

Data Mining and Data Warehousing: Principles and Practical Techniques

  • PRODUCT CODE : 9781108727747
  • CATEGORY: Textbooks
  • ISBN-13:
  • PAGES: 477
  • DIMENSIONS:
  • LANGUAGE: English

Data Mining and Data Warehousing: Principles and Practical Techniques

Rs. 805.00   Rs. 895.00

Publisher :Cambridge
  • Textbooks
  • English
  • 477 PAGES

Description

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, Naive 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. 

Description 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, Naive 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
Read More
  • PRODUCT CODE : 9781108727747
  • CATEGORY: Textbooks
  • ISBN-13: 9781108727747
  • PAGES: 477
  • DIMENSIONS:
  • LANGUAGE: English

Other Books From The Same Category

Statistical Inference | 2nd Edition
statistical inference | 2... AUTHOR'S NAME:george casella & roger l berger

922.00

Fundamentals of Analytical Chemistry | 10th Edition
fundamentals of analytica... AUTHOR'S NAME:dounglas a skoog, donald m west, f james holler & stanley r crouch

1246.00

Ethics In Counseling And Psychotherapy
ethics in counseling and ... AUTHOR'S NAME:ELIZABETH REYNOLDS WELFEL

985.00

Fundamentals of Ecology | 5th Edition
fundamentals of ecology |... AUTHOR'S NAME:eugene p odum & gray w barrett

895.00

Stationery Books