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Discovering knowledge in data : an introduction to data mining / Daniel T. Larose and Chantal D. Larose.

By: Contributor(s): Material type: TextTextSeries: Wiley series on methods and applications in data miningPublication details: New Jersey : John Wiley, ©2014.Edition: 2nd edDescription: xviii, 316 p. : ill. ; 25 cmISBN:
  • 9780470908747 (hardback)
Subject(s): DDC classification:
  • 006.312 23 L331
Contents:
1. An introduction to data mining-- 2. Data preprocessing-- 3. Exploratory data analysis-- 4. Univariate statistical analysis-- 5. Multivariate statistics-- 6. Preparing to model the data-- 7. k-Nearest neighbor algorthm-- 8. Decision trees-- 9. Neural networks-- 10. Hierarchical and k-means clustering-- 11. Kohonen networks-- 12. Association rules-- 13. Imputation of missing data-- 14. Model evaluation techniques-- Appendix-- Index.
Summary: "This is a new edition of a highly praised, successful reference on data mining, now more important than ever due to the growth of the field and wide range of applications. This edition features new chapters on multivariate statistical analysis, covering analysis of variance and chi-square procedures; cost-benefit analyses; and time-series data analysis. There is also extensive coverage of the R statistical programming language. Graduate and advanced undergraduate students of computer science and statistics, managers/CEOs/CFOs, marketing executives, market researchers and analysts, sales analysts, and medical professionals will want this comprehensive reference"--
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 006.312 L331 (Browse shelf(Opens below)) Available PC3422
Total holds: 0

Includes index.

1. An introduction to data mining--
2. Data preprocessing--
3. Exploratory data analysis--
4. Univariate statistical analysis--
5. Multivariate statistics--
6. Preparing to model the data--
7. k-Nearest neighbor algorthm--
8. Decision trees--
9. Neural networks--
10. Hierarchical and k-means clustering--
11. Kohonen networks--
12. Association rules--
13. Imputation of missing data--
14. Model evaluation techniques--
Appendix--
Index.

"This is a new edition of a highly praised, successful reference on data mining, now more important than ever due to the growth of the field and wide range of applications. This edition features new chapters on multivariate statistical analysis, covering analysis of variance and chi-square procedures; cost-benefit analyses; and time-series data analysis. There is also extensive coverage of the R statistical programming language. Graduate and advanced undergraduate students of computer science and statistics, managers/CEOs/CFOs, marketing executives, market researchers and analysts, sales analysts, and medical professionals will want this comprehensive reference"--

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