A Recursive Algorithm for Mining Association Rules

نویسندگان

چکیده

Mining frequent itemsets and association rules are an essential task within data mining analysis. In this paper, we introduce PrefRec, a recursive algorithm for finding rules. Its main advantage is its recursiveness with respect to the items. It particularly efficient updating process when new items added database or some excluded. We present in complete way logic of algorithm, give applications. After that, carry out experimental study on effectiveness PrefRec. first compare execution times very popular itemset algorithms. Then, do experiments test capabilities our algorithm.

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ژورنال

عنوان ژورنال: SN computer science

سال: 2022

ISSN: ['2661-8907', '2662-995X']

DOI: https://doi.org/10.1007/s42979-022-01266-y