Data Mining and Data Warehousing: Principles and Practical Techniques
Author:   Parteek Bhatia
Publisher:   Cambridge University Press
ISBN:  

9781108727747


Pages:   506
Publication Date:   27 June 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Data Mining and Data Warehousing: Principles and Practical Techniques


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Author:   Parteek Bhatia
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
Dimensions:   Width: 18.30cm , Height: 2.00cm , Length: 24.10cm
Weight:   0.660kg
ISBN:  

9781108727747


ISBN 10:   1108727743
Pages:   506
Publication Date:   27 June 2019
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Preface; Acknowledgement; Dedication; 1. Beginning with machine learning; 2. Introduction to data mining; 3. Beginning with Weka and R language; 4. Data pre-processing; 5. Classification; 6. Implementing classification in Weka and R; 7. Cluster analysis; 8. Implementing clustering with Weka and R; 9. Association mining; 10. Implementing association mining with Weka and R; 11. Web mining and search engine; 12. Operational data store and data warehouse; 13. Data warehouse schema; 14. Online analytical processing; 15. Big data and NoSQL; Reference; Index.

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Author Information

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.

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