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Probability Theory
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Data mining
Title of the book
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Data Mining: Concepts and Techniques (Written by Jiawei Han, Micheline Kamber, and Jian Pei)
An Introduction to Statistical Methods and Data Analysis (Written by R Lyman Ott and Michael Longnecker)
Mathematical Statistics and Data Analysis (Written by John A. Rice)
About the Book
About the Contributor
Author:
Jiawei Han, Micheline Kamber, and Jian Pei
Title of the Book:
Data Mining: Concepts and Techniques
Publisher:
Morgan Kaufmann, USA
Year:
2011
Edition:
3
ISBN:
9780123814791
Contributor Name:
Shankru Guggari, Ph.D., Computer Science and Engineering, BMS College of Engineering, Bengaluru
Reviewer:
R TBC Team
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(Download the R codes for all the solved examples)
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(Download the PDF file containing R codes for all the solved examples)
The generated PDF is not the PDF of the book as named but only is the PDF of the solved example for R
Title of the chapter
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2. Getting to know your Data
3. Data Preprocessing
4. Data warehousing and online analytical processing
5. Data Cube Technology
6. Mining frequent patterns associations and correlations basic concepts and methods
7. Advanced Pattern mining
8. Classification basic concepts
9. Classification Advanced methods
10. Cluster analysis basic concepts and mehtods
11. Advanced cluster analysis
12. Outlier detection
Example No. (Caption):
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