↓ 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
Attention for Chapter 16: Association Rule Mining I
Altmetric Badge

Citations

dimensions_citation
141 Dimensions

Readers on

mendeley
6 Mendeley
Summary Dimensions citations
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Association Rule Mining I
Chapter number 16
Book title
Principles of Data Mining
Published by
Springer, London, January 2013
DOI 10.1007/978-1-4471-4884-5_16
Book ISBNs
978-1-4471-4883-8, 978-1-4471-4884-5
Authors

Max Bramer

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Other 1 17%
Lecturer > Senior Lecturer 1 17%
Student > Ph. D. Student 1 17%
Lecturer 1 17%
Other 0 0%
Readers by discipline Count As %
Engineering 2 33%
Agricultural and Biological Sciences 2 33%
Business, Management and Accounting 1 17%
Computer Science 1 17%

This page is provided by Altmetric.