Contribution to the Association Rules Visualization for Decision Support: A Combined Use Between Boolean Modeling and the Colored 2D Matrix

TitleContribution to the Association Rules Visualization for Decision Support: A Combined Use Between Boolean Modeling and the Colored 2D Matrix
Publication TypeJournal Article
Year of PublicationIn Press
AuthorsBenhacine, F. Z., B. Atmani, and F. Z. Abdelouhab
JournalInternational Journal of Interactive Multimedia and Artificial Intelligence
ISSN1989-1660
IssueIn Press
VolumeIn Press
NumberIn Press
Date Published09/2018
Pagination1-10
Abstract

In the present paper we aim to study the visual decision support based on Cellular machine CASI (Cellular Automata for Symbolic Induction). The purpose is to improve the visualization of large sets of association rules, in order to perform Clinical decision support system and decrease doctors’ cognitive charge. One of the major problems in processing association rules is the exponential growth of generated rules volume which impacts doctor’s adaptation. In order to clarify it, many approaches meant to represent this set of association rules under visual context have been suggested. In this article we suggest to use jointly the CASI cellular machine and the colored 2D matrices to improve the visualization of association rules. Our approach has been divided into four important phases: (1) Data preparation, (2) Extracting association rules, (3) Boolean modeling of the rules base (4) 2D visualization colored by Boolean inferences.

KeywordsAssociation Rules, Cellular Automaton, Data Mining, DSS
DOI10.9781/ijimai.2018.09.002
URLhttp://www.ijimai.org/journal/sites/default/files/files/2018/09/ip_09_02_pdf_59163.pdf
AttachmentSize
ip_09_02.pdf1.57 MB