Algorithm of the Inverse Confidence of Data Mining Based on the Techniques of Association Rules and Fuzzy Logic
نویسندگان
چکیده
This article proposes an algorithm for data mining that presents a new measure for assistance in the extraction of knowledge. The algorithm uses association rules to extract rules from the databases and fuzzy logic for the classification and comparison of the collected rules. Key-words: data mining, association rules, fuzzy logic, similarity and algorithm of the inverse confidence.
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