The effects of business rules on transactional association analysis

Ray R. Hashemi, Louis A. Le Blanc, Bart J. Westgeest

Research output: Contribution to book or proceedingConference articlepeer-review

1 Scopus citations

Abstract

Transactional association analysis deals with establishing associations among transactional items in the form of rules. The effects of business rules on the outcome of such analysis are widely ignored, while attention has been misapplied to the mining of different patterns. Ignoring such business rules may result in association rules that are biased. This paper addresses the effects of business rules on transactional association analyses for single level Boolean associations. Specifically, the research goal is to determine what level of bargain (if any) for a group of transactional items affects the number and the contents of association rules.

Original languageEnglish
Title of host publicationInternational Conference on Information Technology
Subtitle of host publicationCoding Computing, ITCC 2004
EditorsP.K. Srimani, A. Abraham, M. Cannataro, J. Domingo-Ferrer, R. Hashemi
Pages198-202
Number of pages5
DOIs
StatePublished - 2004
EventInternational Conference on Information Technology: Coding Computing, ITCC 2004 - Las Vegas, NV, United States
Duration: Apr 5 2004Apr 7 2004

Publication series

NameInternational Conference on Information Technology: Coding Computing, ITCC
Volume2

Conference

ConferenceInternational Conference on Information Technology: Coding Computing, ITCC 2004
Country/TerritoryUnited States
CityLas Vegas, NV
Period04/5/0404/7/04

Scopus Subject Areas

  • General Engineering

Keywords

  • Association Rule
  • Business Rule
  • Data Mining
  • Transactional Association Analysis

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