Data mining and predictive analytics

Data mining and predictive analytics

by Larose, Daniel T.

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Title Statements

  • Full title :Data mining and predictive analytics / Daniel T. Larose, Chantal D. Larose.

Edition Statements

  • Publication Date:[2015].
  • Edition:Second edition

Publication Statements

  • Publisher(s):John Wiley & Sons, Inc
  • Place of Publication:Hoboken, New Jersey
  • Language:eng
  • Publication Date:[2015].

The Physical Object

  • Description:xxix, 794 páginas : ilustraciones, gráficos : 24 cm

Edition Identifiers

  • ISBN:9781118116197, 1118116194
  • oclc:ocn981374491
  • LC Classification:QA76.9.D343
  • Dewey Decimal:005.74

Table of Contents

Part I. Data Preparation -- Chapter 1. An Introduction to Data Mining and Predictive Analytics -- Chapter 2. Data Preprocessing -- Chapter 3. Exploratory Data Analysis -- Chapter 4. Dimension-Reduction Methods -- Part II Statistical Analysis -- Chapter 5 Univariate Statistical Analysis -- Chapter 6. Multivariate Statistics -- Chapter 7. Preparing to Model the data -- Chapter 8. Simple Linear Regression -- Chapter 9. Multiple Regression and Model Building -- Part III. Classification -- Chapter 10. k-Nearest Neighbor Algorithm -- Chapter 11. Decision trees -- Chapter 12. Neural Networks -- Chapter 13. Logistic Regression -- Chapter 14. Naïve Bayes and Bayesian Networks -- Chapter 15. Model Evaluation Techniques -- Chapter 16. Cost-Benefit Analysis Using Data-Driven Costs -- Chapter 17. Cost-Benefit Analysis For Trinary and k-Nary Classification Models -- Chapter 18. Graphical Evaluation of Classification Models -- Part IV. Clustering -- Chapter 19. Hierarchical and k-Means Clustering -- Chapter 20. Kohonen Networks -- Chapter 21. Birch Clustering -- Chapter 22. Measuring Cluster Goodness -- Part V. Association Rules -- Chapter 23. Association Rules -- Part VI. Enhancing Model Perfor…

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Subjects

Diseño experimental -- Estudio de casos Minería de datos -- Manuales Teoría de la predicción

Writers

Larose, Daniel T. Larose, Chantal D.

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