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Textbook Outline. Introduction to Data Mining with Case Studies Author: G. K. Gupta Prentice Hall India, 2006. About the Textbook.

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textbook outline

Textbook Outline

Introduction to Data Mining with Case Studies

Author: G. K. Gupta

Prentice Hall India, 2006.

about the textbook
About the Textbook

The book is written for computer science and business students, for example senior year students in computer science or business as well as students in MBA or MCA courses. The book has been used at both Bond University and Monash University where the classes were diverse and some students did not have a strong mathematical background. My aim in writing the book was to ensure that students were exposed to all major data mining techniques. Mathematical concepts were not avoided but presented in a way that could be understood by students without strong mathematical background.

©GKGupta

topics covered
Topics covered
  • Association Rules
  • Classification
  • Clustering
  • Web data mining
  • Search Engines
  • Data warehousing
  • OLAP
  • Privacy in Data Mining

©GKGupta

case studies
Case Studies
  • The textbook has 12 case studies.
  • Case studies illustrate practical uses of the data mining techniques covered in this course.
  • To get full benefit, students need to read the case studies carefully although a summary of each case study is given in the textbook to provide motivation.

©GKGupta

case studies5
Case Studies
  • The case studies illustrate how data mining can be used in practical situations.
  • The case studies have been published in journals.
  • Just because a person learns the techniques does not mean he/she can apply in real life. Why?

©GKGupta

some other data mining books
Some other Data Mining Books
  • D. Hand, H. Mannila and P. Smyth, Principles of Data Mining, MIT Press, 2001.
  • J. Han and M. Kamber, Data Mining: Concepts and Techniques, Morgan Kaufmann, 2001. The Web site for this book is http://www.cs.sfu.ca/~han/DM_Book.
  • I. H. Witten and E. Frank, Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations, Morgan Kaufmann, 2000. The Web site for this book is www.mkp.com/datamining.

©GKGupta

some other data mining books7
Some other Data Mining Books
  • M. Berry and G. Linoff, Data Mining Techniques: For Marketing, Sales, and Customer Support, Paperback, 1997
  • M. Berry and G. Linoff, Mastering Data Mining, Paperback, 1999
  • V. Dhar and R. Stein, Seven Methods for Transforming Corporate Data into Business Intelligence, 1997

©GKGupta

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