Data Mining and Data Warehousing: Principles and Practical Techniques - Softcover

Bhatia, Parteek

Softcover

ISBN 10: 1108727743 ISBN 13: 9781108727747

Publisher: Cambridge University Press, 2019

Synopsis

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, Naïve 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.

About this title

About the Author

Parteek Bhatia is an associate professor in the department of computer science and engineering at Thapar Institute of Engineering and Technology, Patiala. He has more than twenty years of teaching experience and has published papers in journals. His current research includes natural language processing, machine learning and human computer interface. He has taught courses including data mining and data warehousing, big data analysis and database management system at undergraduate and graduate levels.

Edition details

• Publisher: Cambridge University Press
• Publication date: 2019
• Language: English
• ISBN 10: 1108727743
• ISBN 13: 9781108727747
• Binding: Paperback
• Number of pages: 512