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Principles of Data Mining

Data Mining, the automatic extraction of implicit and potentially useful information from data, is increasingly used in commercial, scientific and other application areas. This book explains and explores the principal techniques of Data Mining: for classification, generation of association rules and...

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Bibliographic Details
Main Author: Bramer, Max (Author)
Corporate Author: SpringerLink (online služba) (Distributor) 
Format: eBook
Language:English
Published: London : Springer London : 2007
Series:Undergraduate Topics in Computer Science,
Genre/form:elektronické knihy
ISBN:9781846287664
Online Access:Plný text
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Table of Contents:
  • Data for Data Mining
  • to Classification: Na¨ive Bayes and Nearest Neighbour
  • Using Decision Trees for Classification
  • Decision Tree Induction: Using Entropy for Attribute Selection
  • Decision Tree Induction: Using Frequency Tables for Attribute Selection
  • Estimating the Predictive Accuracy of a Classifier
  • Continuous Attributes
  • Avoiding Overfitting of Decision Trees
  • More About Entropy
  • Inducing Modular Rules for Classification
  • Measuring the Performance of a Classifier
  • Association Rule Mining I
  • Association Rule Mining II
  • Clustering
  • Text Mining