The comparison of both frameworks shows that the fuzzy approach offers several advantages: it is more accurate, produces a more manageable set of rules for ...

Abstract—Nowadays, data volume, distribution, and volatility makes it difficult to apply traditional Data Mining techniques in.

We propose a method to fuse information from multiple databases in the form of meta-association rules. Meta-rules express which associations are more frequent ...

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... Fuzzy set theory allows a direct handling of the degrees of rules fulfilment, and by extension, to any attribute considered in the meta-association rule ...

Meta-rules express which associations are more frequent in a set of databases.Fuzzy and non-fuzzy approaches are described and compared.The proposed algorithm ...

The proposed model produces meta-association rules, i.e. rules in which the antecedent or the consequent may contain rules as well, for finding joint ...

In addition, fuzzy meta-rules give a more manageable set of rules for its posterior analysis and they allow the use of fuzzy items to express additional ...

The overarching objective of higher-level fusion is to interpret an observed situation and to evaluate the associated threat, thus providing support to decision ...

Meta-rules discover which associations are more frequent in multiple datasets.Fuzzy and non-fuzzy approaches are described.The algorithm proposed avoids ...