Results 241 to 250 of about 131,083 (291)
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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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Mining Fuzzy Weighted Association Rules
2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07), 2007The paper combines and extends the technologies of fuzzy sets and association rules, considering users' differential emphasis on each attribute through fuzzy regions. A fuzzy data mining algorithm is proposed to discovery fuzzy association rules for weighted quantitative data.
David L. Olson, Yanhong Li
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Learning Fuzzy Association Rules and Associative Classification Rules
2006 IEEE International Conference on Fuzzy Systems, 2006Learning association rules and/or associative classification rules has been extensively studied in data mining and knowledge discovery community. Associative classification rules are considered as constrained association rules. Mining traditional association rules from transaction databases, however, has suffered some limitations.
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Mining fuzzy periodic association rules
Data & Knowledge Engineering, 2008We develop techniques for discovering patterns with periodicity in this work. Patterns with periodicity are those that occur at regular time intervals, and therefore there are two aspects to the problem: finding the pattern, and determining the periodicity. The difficulty of the task lies in the problem of discovering these regular time intervals, i.e.,
Wan-Jui Lee, Jung-Yi Jiang, Shie-Jue Lee
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On fuzzy association rules based on fuzzy cardinalities
10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297), 2002The paper discusses the benefit of using fuzzy sets in data summaries based on generalized association rules. Fuzzy sets provide a convenient interface between labels and data and allow for partial belonging to connex but distinct classes. They thus offer a robust reading of the data.
Bosc, Patrick +3 more
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Determination of rule weights of fuzzy association rules
10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297), 2002In this paper, first we extend two basic measures of association rules in data mining (i.e, confidence and support) to the case of fuzzy association rules. The main difference between standard and fuzzy association rules is the discretization of continuous variables.
H. Ishibuchi, T. Yamamoto, T. Nakashima
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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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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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