↓ Skip to main content
What is this page? Embed badge

Principles of Data Mining

Overview of attention for book
Cover of 'Principles of Data Mining'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to Data Mining
  3. Altmetric Badge
    Chapter 2 Data for Data Mining
  4. Altmetric Badge
    Chapter 3 Introduction to Classification: Naïve Bayes and Nearest Neighbour
  5. Altmetric Badge
    Chapter 4 Using Decision Trees for Classification
  6. Altmetric Badge
    Chapter 5 Decision Tree Induction: Using Entropy for Attribute Selection
  7. Altmetric Badge
    Chapter 6 Decision Tree Induction: Using Frequency Tables for Attribute Selection
  8. Altmetric Badge
    Chapter 7 Estimating the Predictive Accuracy of a Classifier
  9. Altmetric Badge
    Chapter 8 Continuous Attributes
  10. Altmetric Badge
    Chapter 9 Avoiding Overfitting of Decision Trees
  11. Altmetric Badge
    Chapter 10 More About Entropy
  12. Altmetric Badge
    Chapter 11 Inducing Modular Rules for Classification
  13. Altmetric Badge
    Chapter 12 Measuring the Performance of a Classifier
  14. Altmetric Badge
    Chapter 13 Dealing with Large Volumes of Data
  15. Altmetric Badge
    Chapter 14 Ensemble Classification
  16. Altmetric Badge
    Chapter 15 Comparing Classifiers
  17. Altmetric Badge
    Chapter 16 Association Rule Mining I
  18. Altmetric Badge
    Chapter 17 Association Rule Mining II
  19. Altmetric Badge
    Chapter 18 Association Rule Mining III: Frequent Pattern Trees
  20. Altmetric Badge
    Chapter 19 Clustering
  21. Altmetric Badge
    Chapter 20 Text Mining
  22. Altmetric Badge
    Chapter 21 Classifying Streaming Data
  23. Altmetric Badge
    Chapter 22 Classifying Streaming Data II: Time-Dependent Data
Overall attention for this book and its chapters
Altmetric Badge

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
55 X users
facebook
3 Facebook pages

Readers on

mendeley
42 Mendeley
Summary News Blogs X Facebook

This page is provided by Altmetric.