D. Chitchareon and P. Pattaraintakorn (Thailand)
Flow graphs, rough set theory and association rules.
Mathematical rough set theory has attracted both practi cal and theoretical researchers. A significant extension of rough set theory is called flow graphs. It is a knowledge representation in the form of information flow. Flow graph is a promising approach to analyze data flow, decision trees, decision rules, probability learning, etc. In this article, we present their connections to perti nent techniques and propose a new extension to association rules. Two new propositions are used to reveal the relation ship between flow graphs and association rules. We con duct experiment on real-world data collected from POSN with the evaluation. We discuss some important properties of flow graphs, with examples throughout.
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