Textbook Outline
Introduction to Data Mining with Case Studies
Author: G. K. Gupta
Prentice Hall India, 2006.
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.
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Topics covered
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Association Rules
Classification
Clustering
Web data mining
Search Engines
Data warehousing
OLAP
Privacy in Data Mining
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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.
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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?
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Some other Data Mining Books
1. D. Hand, H. Mannila and P. Smyth, Principles of Data Mining,
MIT Press, 2001.
2. 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.
3. 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.
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Some other Data Mining Books
4. M. Berry and G. Linoff, Data Mining Techniques: For Marketing,
Sales, and Customer Support, Paperback, 1997
5. M. Berry and G. Linoff, Mastering Data Mining, Paperback, 1999
6. V. Dhar and R. Stein, Seven Methods for Transforming Corporate
Data into Business Intelligence, 1997
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