Title | Ranking of Association Rules Toward Smart Decision for Smart City |
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ID_Doc | 37685 |
Authors | Datta, S; Mali, K; Roy, P |
Title | Ranking of Association Rules Toward Smart Decision for Smart City |
Year | 2017 |
Published | |
Abstract | Ranking of association rules based on their significance in knowledge discovery has become an important issue in data mining. Traditional mining algorithms may often generate a huge number of rules including less or non-significant ones. Users expect is to deal with the most significant association rules to get a smart decision. Ranking express the level of significance which may reduce the confusion in decision making. This paper introduces Gravity as a measure of rule significance and henceforth ranks the association rules. Experimental analysis shows the effectiveness of the proposed technique. |
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