Title :
Association Action Rules and Action Paths Triggered by Meta-actions
Author :
Tzacheva, Angelina A. ; Ras, Zbigniew W.
Author_Institution :
Dept. of Inf., Univ. of South Carolina Upstate, Spartanburg, SC, USA
Abstract :
Action rules are built from atomic expressions called atomic action terms and they describe possible transitions of objects from one state to another. They involve changes of values within one decision attribute. Association action rule is similar to an action rule but it may refer to changes of values involving several attributes listed in its decision part. Action paths are defined as sequences of association action rules with the assumption that the last rule in a sequence is as action rule. Early research on action rule discovery usually required the extraction of classification rules before constructing any action rule. Newest algorithms discover action rules and association action rules directly from an information system. This paper presents a strategy for generating association action rules and action paths by incorporating the use of meta-actions and influence matrices. Action paths show the cascading effect of meta-actions leading to a desired goal.
Keywords :
data mining; information systems; pattern classification; action paths; action rule discovery; association action rules; atomic action terms; classification rules; information system; meta-actions; Conferences; Correlation; Data mining; Drugs; Information systems; Joining processes; Medical diagnostic imaging; action rules; decision support system; knowledge exploration;
Conference_Titel :
Granular Computing (GrC), 2010 IEEE International Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4244-7964-1
DOI :
10.1109/GrC.2010.64