Chapter 11. Association Rules

  1. Carlo Vercellis

Published Online: 17 MAR 2009

DOI: 10.1002/9780470753866.ch11

Business Intelligence: Data Mining and Optimization for Decision Making

Business Intelligence: Data Mining and Optimization for Decision Making

How to Cite

Vercellis, C. (2009) Association Rules, in Business Intelligence: Data Mining and Optimization for Decision Making, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470753866.ch11

Author Information

  1. Politecnico di Milano, Italy

Publication History

  1. Published Online: 17 MAR 2009
  2. Published Print: 20 MAR 2009

ISBN Information

Print ISBN: 9780470511381

Online ISBN: 9780470753866

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Keywords:

  • association rules;
  • class of unsupervised learning models and deriving association rules;
  • motivation and structure of association rules;
  • single-dimension association rules;
  • generation of strong rules and list of all frequent itemsets;
  • Apriori algorithm - generation of frequent itemsets;
  • general association rules

Summary

This chapter contains sections titled:

  • Motivation and structure of association rules

  • Single-dimension association rules

  • Apriori algorithm

  • General association rules

  • Notes and readings