Statistical Data Mining and Knowledge Discovery
eBook - ePub

Statistical Data Mining and Knowledge Discovery

  1. 624 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Statistical Data Mining and Knowledge Discovery

About this book

Massive data sets pose a great challenge to many cross-disciplinary fields, including statistics. The high dimensionality and different data types and structures have now outstripped the capabilities of traditional statistical, graphical, and data visualization tools. Extracting useful information from such large data sets calls for novel approache

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Yes, you can access Statistical Data Mining and Knowledge Discovery by Hamparsum Bozdogan in PDF and/or ePUB format, as well as other popular books in Economics & Data Mining. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2003
Print ISBN
9781584883449
eBook ISBN
9781135441012
Edition
1
Topic
Economics
Subtopic
Data Mining
Index
Economics

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Dedication Page
  6. Foreword
  7. Editor’s Preface
  8. Editor’s Bio
  9. List Of Presenters
  10. Table of Contents
  11. 1: The Role of Bayesian and Frequentist Multivariate Modeling in Statistical Data Mining
  12. 2: Intelligent Statistical Data Mining with Information Complexity and Genetic Algorithms
  13. 3: Econometric and Statistical Data Mining, Prediction and Policy-Making
  14. 4: Data Mining Strategies for the Detection of Chemical Warfare Agents
  15. 5: Disclosure Limitation Methods Based on Bounds for Large Contingency Tables With Applications to Disability
  16. 6: Partial Membership Models with Application to Disability Survey Data
  17. 7: Automated Scoring of Polygraph Data
  18. 8: Missing Value Algorithms in Decision Trees
  19. 9: Unsupervised Learning from Incomplete Data Using a Mixture Model Approach
  20. 10: Improving the Performance of Radial Basis Function (RBF) Classification Using Information Criteria
  21. 11: Use of Kernel Based Techniques for Sensor Validation in Nuclear Power Plants
  22. 12: Data Mining and Traditional Regression
  23. 13: An Extended Sliced Inverse Regression
  24. 14: Using Genetic Programming to Improve the Group Method of Data Handling in Time Series Prediction
  25. 15: Data Mining for Monitoring Plant Devices Using GMDH and Pattern Classification
  26. 16: Statistical Modeling and Data Mining to Identify Consumer Preferences
  27. 17: Testing for Structural Change Over Time of Brand Attribute Perceptions in Market Segments
  28. 18: Kernel PCA for Feature Extraction with Information Complexity
  29. 19: Global Principal Component Analysis for Dimensionality Reduction in Distributed Data Mining
  30. 20 : A New Metric for Categorical Data
  31. 21: Ordinal Logistic Modeling Using ICOMP as a Goodness-of-Fit Criterion
  32. 22: Comparing Latent Class Factor Analysis with the Traditional Approach in Data Mining
  33. 23 : On Cluster Effects in Mining Complex Econometric Data
  34. 24 : Neural Network-Based Data Mining Techniques for Steel Making
  35. 25: Solving Data Clustering Problem as a String Search Problem
  36. 26 : Behavior-Based Recommender Systems as Value-Added Services for Scientific Libraries
  37. 27 : GTP (General Text Parser) Software for Text Mining
  38. 28: Implication Intensity: From the Basic Statistical Definition to the Entropic Version
  39. 29: Use of a Secondary Splitting Criterion in Classifiying Forest Construction
  40. 30: A Method Integrating Self-Organizing Maps to Predict the Probability of Barrier Removal
  41. 31 : Cluster Analysis of Imputed Financial Data Using an Augmentation-Based Algorithm
  42. 32 : Data Mining in Federal Agencies
  43. 33 : STING: Evaluation of Scientific & Technological Innovation and Progress in Europe Through Patents
  44. 34 : The Semantic Conference Organizer
  45. Index