Mining class-bridge rules based on rough sets

Authors:
Shichao Zhang;Feng Chen;Zhi Jin;Ruili Wang
Affiliations:
College of CS and IT, Guangxi Normal University, PR China and Faculty of Information Technology, University of Technology, Sydney, P.O. Box 123, Broadway NSW 2007, Australia;Faculty of Science and Technology, Deakin University, Australia;School of EE and CS, Peking University, PR China;Institute of Information Sciences and Technology, Massey University, New Zealand
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

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Abstract

A class-bridge rule is the rule whose antecedent and consequent belong to different conceptual classes. This kind of rules stands for the correlation between conceptual classes. The study on class-bridge rules can benefit many domains such as criminal detection, chemical synthesis, biological grafting, etc. Class-bridge rules are different from other association rules as follows: (1) class-bridge rules can be generated from infrequent itemsets; (2) measurements of class-bridge rules include the distance between conceptual classes and the relation between the antecedents/consequents and their affiliated conceptual classes. This paper proposes an algorithm based on rough sets to mine and evaluate class-bridge rules. The experiment demonstrates its effectiveness.