Buscar
Mostrando ítems 1-10 de 2960
Exploring the data using Extended Association Rule Network
(Ieee, 2018-01-01)
In this paper, we presented the Extended Association Rule Network (ExARN) to structure, prune and analyze a set of association rules, aiming to build hypothesis candidates. The ExARN extends the ARN, proposed by [2], ...
PAR-COM: A New Methodology for Post-processing Association Rules
(Springer, 2012-01-01)
The post-processing of association rules is a difficult task, since a huge number of rules that are generated are of no interest to the user. To overcome this problem many approaches have been developed, such as objective ...
Gaussian quadrature rules with simple node-weight relations
(Baltzer Sci Publ Bv, 2001-01-01)
In this paper, we consider the symmetric Gaussian and L-Gaussian quadrature rules associated with twin periodic recurrence relations with possible variations in the initial coefficient. We show that the weights of the ...
Gaussian quadrature rules with simple node-weight relations
(Baltzer Sci Publ Bv, 2001-01-01)
In this paper, we consider the symmetric Gaussian and L-Gaussian quadrature rules associated with twin periodic recurrence relations with possible variations in the initial coefficient. We show that the weights of the ...
Mining negative rules: a literature review focusing on performance
(Ieee, 2021-01-01)
Mining of frequent patterns and association rules is a Data Mining task that aims to determine consistent relationships among elements in a transaction database. Algorithms that consider the absence of elements perform the ...
Objective Measures Ensemble in Associative Classifiers
(Scitepress, 2020-01-01)
Associative classifiers (ACs) are predictive models built based on association rules (ARs). Model construction occurs in steps, one of them aimed at sorting and pruning a set of rules. Regarding ordering, usually objective ...
Classification based on specific rules and inexact coverage
(Elsevier Ltd., 2012)
Objective measures ensemble in associative classifiers
(2020-01-01)
Associative classifiers (ACs) are predictive models built based on association rules (ARs). Model construction occurs in steps, one of them aimed at sorting and pruning a set of rules. Regarding ordering, usually objective ...
POST-PROCESSING ASSOCIATION RULES WITH CLUSTERING AND OBJECTIVE MEASURES
(Insticc-inst Syst Technologies Information Control & Communication, 2011-01-01)
The post-processing of association rules is a difficult task, since a large number of patterns can be obtained. Many approaches have been developed to overcome this problem, as objective measures and clustering, which are ...
CAR-NF: A classier based on specic rules with high netconf
(ResearchGate, 2012)