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Comparison of Heuristics for Optimization of Association Rules
Journal article   Peer reviewed

Comparison of Heuristics for Optimization of Association Rules

Fawaz Alsolami, Talha Amin, Mikhail Moshkov, Beata Zielosko and Krzysztof Zabinski
Fundamenta informaticae, Vol.166(1), pp.1-14
01/01/2019

Abstract

Computer Science Computer Science, Software Engineering Mathematics Mathematics, Applied Physical Sciences Science & Technology Technology
In this paper, seven greedy heuristics for construction of association rules are compared from the point of view of the length and coverage of constructed rules. The obtained rules are compared also with optimal ones constructed by dynamic programming algorithms. The average relative difference between length of rules constructed by the best heuristic and minimum length of rules is at most 4%. The same situation is with coverage.

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