Results 231 to 240 of about 161,462 (303)
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Rainfall estimation from MSG images using fuzzy association rules

Journal of Intelligent & Fuzzy Systems, 2019
The Meteosat Second Generation (MSG) satellite can be used to estimate rainfall through the multispectral images, which are provided every 15 min across 12 channels.
Bilal Bouaita, A. Moussaoui, N. Bachari
semanticscholar   +1 more source

The Optimization and Enhancement of Network Intrusion Detection through Fuzzy Association Rules

2019 6th International Conference on Technical Education (ICTechEd6), 2019
The objective of this paper is to analyze network security using a modification of fuzzy logic and association rule data mining base on genetic network programming (GNP) evaluations.
Pongsarun Boonyopakorn
semanticscholar   +1 more source

Mining Fuzzy Weighted Association Rules

2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07), 2007
The 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
openaire   +1 more source

Learning Fuzzy Association Rules and Associative Classification Rules

2006 IEEE International Conference on Fuzzy Systems, 2006
Learning 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.
openaire   +1 more source

Mining fuzzy periodic association rules

Data & Knowledge Engineering, 2008
We 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
openaire   +1 more source

On fuzzy association rules based on fuzzy cardinalities

10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297), 2002
The 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
openaire   +2 more sources

Botnet Detection based on Fuzzy Association Rules

International Conference on Pattern Recognition, 2018
Difficult to be detected in complex network environments, botnets have been huge threats to network security. As the circumscriptions of normal traffics and botnet traffics are blurring, the commonly used botnet detection methods based on traffic ...
Jiazhong Lu   +4 more
semanticscholar   +1 more source

Determination of rule weights of fuzzy association rules

10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297), 2002
In 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
openaire   +1 more source

Fuzzy QMD algorithm for mining fuzzy association rules

Proceedings of the 3rd International Conference on Communication and Information Processing, 2017
Association 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
openaire   +1 more source

Discovering fuzzy association rules using fuzzy partition methods

Knowledge-Based Systems, 2003
Fuzzy association rules described by the natural language are well suited for the thinking of human subjects and will help to increase the flexibility for supporting users in making decisions or designing the fuzzy systems. In this paper, a new algorithm named fuzzy grids based rules mining algorithm (FGBRMA) is proposed to generate fuzzy association ...
Yi-Chung Hu   +2 more
openaire   +1 more source

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