A Prefixed-Itemset-Based Improvement For Apriori Algorithm
نویسندگان
چکیده
Association rules is a very important part of data mining. It is used to find the interesting patterns from transaction databases. Apriori algorithm is one of the most classical algorithms of association rules, but it has the bottleneck in efficiency. In this article, we proposed a prefixed-itemset-based data structure for candidate itemset generation, with the help of the structure we managed to improve the efficiency of the classical Apriori algorithm.
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ورودعنوان ژورنال:
- CoRR
دوره abs/1601.01746 شماره
صفحات -
تاریخ انتشار 2015