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Metrics for Association Rule Clustering Assessment
(Springer, 2015-01-01)
Issues related to association mining have received attention, especially the ones aiming to discover and facilitate the search for interesting patterns. A promising approach, in this context, is the application of clustering ...
An Apriori-Based Learning Scheme towards Intelligent Mining of Association Rules for Geological Big Data
(TSI, 2020)
The past decade has witnessed the rapid advancements of geological data analysis techniques, which facilitates the development of modern agricultural systems. However, there remains some technical challenges that should ...
Improving hierarchical document cluster labels through candidate term selection
(2012-09-03)
One way to organize knowledge and make its search and retrieval easier is to create a structural representation divided by hierarchically related topics. Once this structure is built, it is necessary to find labels for ...
Associated symmetric quadrature rules
(1996-06-01)
We prove a relation between two different types of symmetric quadrature rules, where one of the types is the classical symmetric interpolatory quadrature rules. Some applications of a new quadrature rule which was obtained ...
Associated symmetric quadrature rules
(1996-06-01)
We prove a relation between two different types of symmetric quadrature rules, where one of the types is the classical symmetric interpolatory quadrature rules. Some applications of a new quadrature rule which was obtained ...
Subjective evaluation of labeling methods for association rule clustering
(2013-12-01)
Among the post-processing association rule approaches, clustering is an interesting one. When an association rule set is clustered, the user is provided with an improved presentation of the mined patters. The domain to be ...
Mining negative rules: A literature review focusing on performanceMineração de regras negativas: uma revisão da literatura com foco em desempenho
(2021-06-23)
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 ...