Add to ORKGFuzzy 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 rules from a relational database. The proposed algorithm consists of two phases: one to generate the large fuzzy grids, and the other to generate the fuzzy association rules. A numerical example is presented to illustrate a detailed process for finding the fuzzy association rules from a specified database, demonstrating the effectiveness of the proposed algorithm
The Knowledge Grid provides us with the means to rep-resent, share and manage globally distributed k...
International audienceThe use of fuzzy sets to describe associations between data extends the types ...
This article is a revised and extended version of a paper presented at the 10th Inter-national Fuzzy...
We introduce a new algorithm for mining the fuzzy association rules by removing redundant fuzzy asso...
The proliferation of large databases provides both the impetus and the need for the development of a...
ABSTRASCT Due to increasing use of very large database and data warehouses, discovering useful knowl...
ABSTRACT: Mining association rules is one of the important tasks in the process of data mining appli...
[[abstract]]Due to the increasing use of very large databases and data warehouses, mining useful inf...
Data mining of association rules from items in transaction databases has been studied extensively in...
Mining association rules is one of the important tasks in the process of data mining application. In...
[[abstract]]Due to the increasing use of very large databases and data warehouses, mining useful inf...
Mining association rules from databases is still a hot topic in data mining community in recent year...
In data mining, the association rules are used to search for the relations of items of the transacti...
Association rules have been used as an efficient decision-making strategy in many fields. Along with...
Fuzzy association rule mining is one of the important problems in fuzzy machine learning. The fuzzy ...
The Knowledge Grid provides us with the means to rep-resent, share and manage globally distributed k...
International audienceThe use of fuzzy sets to describe associations between data extends the types ...
This article is a revised and extended version of a paper presented at the 10th Inter-national Fuzzy...
We introduce a new algorithm for mining the fuzzy association rules by removing redundant fuzzy asso...
The proliferation of large databases provides both the impetus and the need for the development of a...
ABSTRASCT Due to increasing use of very large database and data warehouses, discovering useful knowl...
ABSTRACT: Mining association rules is one of the important tasks in the process of data mining appli...
[[abstract]]Due to the increasing use of very large databases and data warehouses, mining useful inf...
Data mining of association rules from items in transaction databases has been studied extensively in...
Mining association rules is one of the important tasks in the process of data mining application. In...
[[abstract]]Due to the increasing use of very large databases and data warehouses, mining useful inf...
Mining association rules from databases is still a hot topic in data mining community in recent year...
In data mining, the association rules are used to search for the relations of items of the transacti...
Association rules have been used as an efficient decision-making strategy in many fields. Along with...
Fuzzy association rule mining is one of the important problems in fuzzy machine learning. The fuzzy ...
The Knowledge Grid provides us with the means to rep-resent, share and manage globally distributed k...
International audienceThe use of fuzzy sets to describe associations between data extends the types ...
This article is a revised and extended version of a paper presented at the 10th Inter-national Fuzzy...