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Data Mining Techniques is a comprehensive book for undergraduate students of information science and computer science engineering. The book comprises of chapters on data warehousing, data mining, association rules, clustering techniques, decision tree techniques, rough set theory, web mining, and temporal and spatial data mining. In addition, the book contains the algorithmic details of different techniques like Apriori, SPRINT, and SPADE and also covers the recent developments such as support vector machines and rough set theory. This book is essential for students of computer science, mathematical science and management science. About Arun K Pujari Arun K Pujari is a Professor of Computer Science at the University of Hyderabad. He was previously working for the Automated Cartography Cell, Survey of India and Jawaharlal Nehru University, New Delhi. He completed his PhD from the Indian Institute of Technology Kanpur and MSc from Sambalpur University. He has been a visiting professor to several international universities including the Institute of Industrial Sciences, University of Tokyo, International Institute of Software Technology, United Nations University, University of Memphis, USA and Griffith University, among others. He is presently the vice-chancellor of Sambalpur University.