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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 ...
N. Marín, M.D. Ruiz, D. Sánchez
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On Fuzzy Modus Ponens to Assess Fuzzy Association Rules
A Passion for Fuzzy Sets, 2015Fuzzy association rules provide a meaningful tool to represent new useful information extracted from raw data and expressed in a comprehensive way for a decision maker. In this paper we propose an approach to assess Fuzzy Association Rules by using the theoretical results by Trillas et al. about the Fuzzy Modus Ponens.
Miguel Delgado +3 more
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International journal of pattern recognition and artificial intelligence, 2021
Transactions in web data are huge amounts of data, often consisting of fuzzy and quantitative values. Mining fuzzy association rules can help discover interesting relationships between web data. The quality of these rules depends on membership functions,
Z. Anari, A. Hatamlou, B. Anari
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Transactions in web data are huge amounts of data, often consisting of fuzzy and quantitative values. Mining fuzzy association rules can help discover interesting relationships between web data. The quality of these rules depends on membership functions,
Z. Anari, A. Hatamlou, B. Anari
semanticscholar +1 more source
Research on automobile insurance fraud identification based on fuzzy association rules
Journal of Intelligent & Fuzzy Systems, 2021With the development of automobile insurance industry, how to identify automobile insurance fraud from massive data becomes particularly important. The purpose of this paper is to improve automobile insurance fraud management and explore the application ...
Chun Yan +3 more
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Meta-Fuzzy Items for Fuzzy Association Rules
2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2021A large number of systems with a great predictive capacity, such as Deep Learning, are being currently used to solve a wide variety of real problems. However, the models obtained are not easy to understand by scientists, giving rise to the field of eXplainable Artificial Intelligence, which encourage techniques that obtain accurate and understandable ...
Carmen Biedma-Rdguez +3 more
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Mining significant fuzzy association rules with differential evolution algorithm
Applied Soft Computing, 2020This article presents a new differential evolution (DE) algorithm for mining optimized statistically significant fuzzy association rules that are abundant in number and high in rule interestingness measure (RIM) values, with strict control over the risk ...
Anshu Zhang, W. Shi
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Mining fuzzy association rules
Proceedings of the sixth international conference on Information and knowledge management, 1997In his paper, we introduce a novel technique, called F-APACS, for mining jkzy association rules. &istlng algorithms involve discretizing the domains of quantitative attrilmtes into intervals so as to discover quantitative association rules. i%ese intervals may not be concise and meaning@ enough for human experts to easily obtain nontrivial knowledge ...
Keith C. C. Chan, Wai-Ho Au
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Discovery of Fuzzy Temporal Association Rules
IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 2004We propose a data mining system for discovering interesting temporal patterns from large databases. The mined patterns are expressed in fuzzy temporal association rules which satisfy the temporal requirements specified by the user. Temporal requirements specified by human beings tend to be ill-defined or uncertain. To deal with this kind of uncertainty,
Wan-Jui, Lee, Shie-Jue, Lee
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On Fuzzy Confirmation Measures of Fuzzy Association Rules
2020Many researchers from different sciences focused their attention on quantifying the degree to which an antecedent in a rule supports a conclusion. This long-standing problem results to be particularly interesting in the case of fuzzy association rules between a fuzzy antecedent and a fuzzy consequence: in fact, rules become much more flexible in ...
Celotto Emilio +2 more
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Mining fuzzy quantitative association rules
Expert Systems, 2006Abstract: The concept of fuzzy sets is one of the most fundamental and influential tools in the development of computational intelligence. In this paper the fuzzy pincer search algorithm is proposed. It generates fuzzy association rules by adopting combined top‐down and bottom‐up approaches.
R.B.V. Subramanyam, A. Goswami
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