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eBook for Data Mining and Warehousing

Author(s): M Sudheep Elayidom

ISBN: 9789355733092

1st Edition

₹885

Binding: eBook

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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

Data Mining – Concepts
Data Preprocessing
UCI Datasets and their significance
Classification Models
Prediction Models
Association Rules Mining
Cluster Analysis
Practical Data Mining Tools
Advanced Data Mining Techniques
Bioinformatics
Ensemble Learning
Cloud Computing: An Introduction
CRM Applications and Data Mining
Big Data Analysis and Data Mining
Data Warehousing and Business Intelligence in Practice

M. Sudheep Elayidom, PhD, is Professor in Division of Computer Engineering, School of Engineering, Cochin University, Kerala. He has teaching experience of more than 25 years and research experience of more than 10 years.