Data Mining and Statistcs for Decision Making

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This book looks at both Classical methods of data mining, such as clustering, discriminate analysis, decision trees, neural network and supoort vector machines and genetic algorithms.

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Title Statements

Full title :Data Mining and Statistcs for Decision Making / Stéphane Tufféry ; translated by Rod Riesco.

Summary

This book looks at both Classical methods of data mining, such as clustering, discriminate analysis, decision trees, neural network and supoort vector machines and genetic algorithms.

Edition Statements

Publication Date:2011.
Edition:1st ed

Publication Statements

Publisher(s):John Wiley and Sons
Place of Publication:Chichester
Language:eng
Publication Date:2011.

Notes

Indices.

The Physical Object

Description:XV, 689 p. : : il. ; : 25 cm.

Edition Identifiers

ISBN:9780470688298, 0470688297
oclc:ocn732336625

Machine generated contents note: Preface -- Foreword -- Contents -- Overview of data mining -- 1.1. What is data mining? -- 1.2. What is data mining used for? -- 1.3. Data Mining and statistics -- 1.4. Data mining and information technology -- 1.5. Data mining and protection of personal data -- 1.6. Implementation of data mining -- The development of a data mining study -- 2.1. Defining the aims -- 2.2. Listing the existing data -- 2.3. Collecting the data -- 2.4. Exploring and preparing the data -- 2.5. Population segmentation -- 2.6. Drawing up and validating predictive models -- 2.7. Synthesizing predictive models of different segments -- 2.8. Iteration of the preceding steps -- 2.9. Deploying the models -- 2.10. Training the model users -- 2.11. Monitoring the models -- 2.12. Enriching the models -- 2.13. Remarks -- 2.14. Life cycle of a model -- 2.15. Costs of a pilot project -- Data exploration and preparation -- 3.1. The different types of data -- 3.2. Examining the distribution of variables -- 3.3. Detection of rare or missing values -- 3.4. Detection of aberrant values -- 3.5. Detection of extreme values -- 3.6. Tests of normality -- 3.7. Homoscedasticity and heteroscedas…