An Improved Association Rule Mining Algorithm Based on Weight Function
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Graphical Abstract
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Abstract
This paper proposes an improved association rule mining algorithm based on weight function-CWApriori.The algorithm uses decision property to delete useless data records for decreasing the run time and memory spaces.It improves the algorithm performance greatly.The experimental results show that CWApriori algorithm is more efficient than Apriori algorithm.
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