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Fuzzy QMD algorithm for mining fuzzy association rules
Proceedings of the 3rd International Conference on Communication and Information Processing, 2017Association rules mining is to find associations efficiently among the different items of a transaction database. In order to help decision-makers conduct sound and timely solutions, we apply fuzzy partition method and combine QMD (Quick Modulized Decomposition) to propose a novel fuzzy data mining method.
Chien-Hua Wang +3 more
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Clustering Association Rules with Fuzzy Concepts
2009Association rules constitute a widely accepted technique to identify frequent patterns inside huge volumes of data. Practitioners prefer the straightforward interpretability of rules, however, depending on the nature of the underlying data the number of induced rules can be intractable large. Even reasonably sized result sets may contain a large amount
Matthias Steinbrecher, Rudolf Kruse
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Fuzzy frameworks for mining data associations: fuzzy association rules and beyond
WIREs Data Mining and Knowledge Discovery, 2016Looking for associations in data is one of the data mining tasks that has aroused more interest in the literature. In this area, incorporating concepts of fuzzy set theory is useful in problems where imprecision and/or uncertainty appear. In most of the existing approaches, fuzzy association rules are widely seen as fuzzy rules, which are very ...
Nicolás Marín +2 more
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Mining fuzzy quantitative association rules
Proceedings 11th International Conference on Tools with Artificial Intelligence, 2003Given a relational database and a set of fuzzy terms defined for some attributes we consider the problem of mining fuzzy quantitative association rules that may contain crisp values, intervals, and fuzzy terms in both antecedent and consequent. We present an algorithm extended from the equi-depth partition (EDP) algorithm for solving this problem.
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Fuzzy rule extraction based on the mining generalized association rules
SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483), 2004In data mining, the quantitative attributes should be appropriately dealt with as well as the Boolean attributes. This paper describes a fuzzy rule extraction method based on mining generalized association rules from database. The objectives of the method are to improve the computational time of mining and the accuracy of the extracted rules for the ...
Toshihiko Watanabe, Makishi Nakayama
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Integrating fuzziness into OLAP for multidimensional fuzzy association rules mining
Third IEEE International Conference on Data Mining, 2004We contribute to the ongoing research on multidimensional online association rules mining by proposing a general architecture that utilizes a fuzzy data cube for knowledge discovery. Three different methods are introduced to mine fuzzy association rules in the constructed fuzzy data cube, namely single dimension, multidimensional and hybrid association
Reda Alhajj, Mehmet Kaya
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Analyzing fuzzy association rules with Fingrams in KEEL
2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2014This work presents the full integration of fuzzy inference-grams (Fingrams) in KEEL to visual analysis of fuzzy association rules. Fingrams graphically represent fuzzy rule-based systems (FRBSs) in 2D graphs that illustrate the interaction among fuzzy rules in terms of rule cofiring, i.e., paying attention to rule pairs simultaneous fired by a given ...
David P. Pancho +3 more
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On an equation coming from fuzzy association rules
The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05., 2005The paper is devoted to find the solutions of a functional equation appeared in a study on the assessment of fuzzy association ...
Enric Trillas, Claudi Alsina
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Intrusion detection using fuzzy association rules
Applied Soft Computing, 2009Vulnerabilities in common security components such as firewalls are inevitable. Intrusion Detection Systems (IDS) are used as another wall to protect computer systems and to identify corresponding vulnerabilities. In this paper, a novel framework based on data mining techniques is proposed for designing an IDS.
Arman Tajbakhsh +2 more
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Evaluating Fuzzy Association Rules on XML Documents
2006In this work we propose a flexible approach to evaluate association rules on XML documents. In particular we describe evaluation techniques in order to assign a satisfiability degree to structural association rules, which allow one to evaluate the similarity of the XML document with respect to a given structure, and to value association rules which ...
COMBI, Carlo +2 more
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