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Data Mining and Warehousing

Author(s): M Sudheep Elayidom

ISBN: 9788131525869

Edition: 1^st

₹985

Binding: Hardback

Imprint : CL India

Pages: 394

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'This book on Data Mining and Warehousing is designed in such a way that it will be useful for students, researchers, industrialists, and novices. It not only covers the basic concepts of data mining and warehousing, but also includes many case studies from experts in the field. The main feature of the book is the detailed explanations on the practical side with software tools such as Oracle BI, Weka, and R. All the latest research trends in data mining such as ensemble learning, Web mining, bioinformatics, data warehousing with Oracle BI, spatial data mining, big data, cloud computing, and CRM are also discussed in detail.

' Covers both the undergraduate course topics and advanced research topics Focuses on the practical aspects along with basic theory Includes screenshots from various data mining software tools such as Weka, Oracle BI, MATLAB, and R Discusses important points and definitions (as box items), pointing out research advances in data mining Includes practical exercises at the end of chapters to help students analyze their understanding of the concepts

'1. Data Mining - Concepts 2. Data Preprocessing 3. UCI Datasets and their significance 4. Classification Models 5. Prediction Models 6. Association Rules Mining 7. Cluster Analysis 8. Practical Data Mining Tools 9. Advanced Data Mining Techniques 10. Bioinformatics 11. Ensemble Learning 12. Cloud Computing: An Introduction 13. CRM Applications and Data Mining 14. Big Data Analysis and Data Mining 15. Data Warehousing and Business Intelligence in Practice

'M. Sudheep Elayidom Dr M. Sudheep Elayidom is a computer engineer with a PhD in data mining. Currently he is working as a faculty and PhD guide in the School of Engi¬neering, CUSAT, Kochi, India. He passed his BTech from the MG University and MTech from CUSAT, with first ranks in both. He has several international publications to his credit. His areas of interest include data mining, databases, software engineering, object oriented analysis, big data, Cloud databases, etc.