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Automatic Finding Trapezoidal Membership Functions in Mining Fuzzy Association Rules Based on Learning Automata
Association rule mining is an important data mining technique used for discovering relationships among all data items. Membership functions have a significant impact on the outcome of the mining association rules. An ...
Contribution to the Association Rules Visualization for Decision Support: A Combined Use Between Boolean Modeling and the Colored 2D Matrix
In the present paper we aim to study the visual decision support based on Cellular machine CASI (Cellular Automata for Symbolic Induction). The purpose is to improve the visualization of large sets of association rules, ...
Post-processing association rules using networks and transductive learning.
(IEEE Systems, Man, and Cybernetics Society - IEEE SMCWayne State UniversityDetroit, 2014-12)
Association is widely used to find relations among items in a given database. However, finding the interesting patterns is a challenging task due to the large number of rules that are generated. Traditionally, this task ...
Post-processing association rules using networks and transductive learning
(2014-02-05)
Association is widely used to find relations among items in a given database. However, finding the interesting patterns is a challenging task due to the large number of rules that are generated. Traditionally, this task ...
An Analysis on Community Detection and Clustering Algorithms on the Post-Processing of Association Rules
(Ieee, 2018-01-01)
Association rules are widely used to extract patterns from a given database. The association rules are capable of finding correlations among items, making it possible for the user to learn which items are present in the ...
Ranking association rules by clustering through interestingness
(2018-01-01)
The association rules (ARs) post-processing step is challenging, since many patterns are extracted and only a few of them are useful to the user. One of the most traditional approaches to find rules that are of interestingness ...
Regras de associação e correlação temporal para popular e detectar Inconsistências em grandes bases de conhecimento
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2017-12-20)
Large growing knowledge bases have been an interesting field in many researches in the
past few years. Most techniques focus on constructing algorithms to help a Knowledge
Base (KB) automatically (or semi automatically) ...
Um estudo de algoritmos para extração de regras baseados em análise formal de conceitos
(Universidade Federal de Minas GeraisUFMG, 2007-02-16)
This work presents a comparative analysis of techniques for extracting rules from databases through Formal Concept Analysis (FCA). The rules considered here are sets of dependencies among attributes of databases. Specifically, ...
A user-driven association rule mining based on templates for multi-relational data
(2018-01-01)
Data mining algorithms to find association rules are an important tool to extract knowledge from databases. However, these algorithms produce an enormous amount of rules, many of which could be redundant or irrelevant for ...
Latent association rule cluster based model to extract topics for classification and recommendation applications
(Elsevier B.V., 2018-12-01)
The quality of any text mining technique is highly dependent on the features that are used to represent the document collection. A classical form of document representation is the vector space model (VSM), according to ...