Experts has a new look! Let us know what you think of the updates.

Provide feedback
Home
Scholarly Works
Association Rules
Chapter

Association Rules

Abstract

Association rules present one of the most versatile techniques for the analysis of binary data, with applications in areas as diverse as retail, bioinformatics, and sociology. In this chapter, the origin of association rules is discussed along with the functions by which association rules are traditionally characterised. Following the formal definition of an association rule, these functions – support, confidence and lift – are defined and …

Authors

McNicholas PD; Zhao Y

Book title

Post-Mining of Association Rules

Pagination

pp. 1-10

Publisher

IGI Global

Publication Date

2009

DOI

10.4018/978-1-60566-404-0.ch001

Associated Experts

Paul McNicholas

Professor, Faculty of Science
Visit profile
View published work (Non-McMaster Users)