|
Title:
|
A MODEL FOR REDUNDANCY REDUCTION IN MULTIDIMENSIONAL ASSOCIATION RULES |
|
Author(s):
|
Julio Diaz, Carlos Molina, M-Amparo Vila |
|
ISBN:
|
978-972-8939-93-9 |
|
Editors:
|
António Palma dos Reis and Ajith P. Abraham |
|
Year:
|
2013 |
|
Edition:
|
Single |
|
Keywords:
|
Association Rules, Ontology, Redundancy Reduction. |
|
Type:
|
Short Paper |
|
First Page:
|
89 |
|
Last Page:
|
93 |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
click to dowload 
|
|
Paper Abstract:
|
Association rules mining algorithms over data cube generate a huge number of rules which make hard to use them in an actionable way. In this paper a rule simplification model is proposed. We use previous domain knowledge in a form of OWL ontology to eliminate redundant elements in the antecedent and consequent of a rule and to prune redundant rules. The model is applied as a concept proves in a data cube with census data.For this example, our models prune 25% of the rules and reduce the 30% of the final set with only six previous known rules. |
|
|
|
|
|
|
