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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], ...
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 ...
Post-processing association rules: A network based label propagation approach
(2016-01-01)
Association rules are widely used to find relations among items in a given database. However, the amount of generated rules is too large to be manually explored. Traditionally, this task is done by post-processing approaches ...
Automatic identification of knowledge related to dengue cases in the state of Piauí in public databases using Filtered-Association Rules Networks
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2020)
Dropout through extended association rule netwoks: A complementary view
(2020-01-01)
Dropout is a critical problem that has been studied by data mining methods. The most widely used algorithm in this context is C4.5. However, the understanding of the reasons why a student dropout is a result of its ...
Dropout through Extended Association Rule Netwoks: A Complementary View
(Scitepress, 2020-01-01)
Dropout is a critical problem that has been studied by data mining methods. The most widely used algorithm in this context is C4.5. However, the understanding of the reasons why a student dropout is a result of its ...
Inference of Gene Regulatory Networks based on Association Rules
(Wiley, 2013)
This chapter focuses on gene regulation and the ways that transcriptome data can be used to unravel the complex relationships between the genes that comprise a gene regulatory network (GRN). In particular, it describes the ...
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 ...