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Mostrando ítems 1-10 de 2050
Multi-relational algorithm for mining association rules in large databases
(2011-12-01)
Multi-relational data mining enables pattern mining from multiple tables. The existing multi-relational mining association rules algorithms are not able to process large volumes of data, because the amount of memory required ...
Multi-relational algorithm for mining association rules in large databases
(2011-12-01)
Multi-relational data mining enables pattern mining from multiple tables. The existing multi-relational mining association rules algorithms are not able to process large volumes of data, because the amount of memory required ...
Obtenção de padrões sequenciais em data streams atendendo requisitos do Big Data
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2016-06-06)
The growing amount of data produced daily, by both businesses and individuals in the web, increased the demand for analysis and extraction of knowledge of this data. While the last two decades the solution was to store and ...
Reducing the number of canonical form tests for frequent subgraph mining
(Computación y Sistemas, 2011)
Data mining, Bongard problems, and the concept of pattern conception
(WITPress, 2002)
The concept of pattern conception was discussed for categorization of data mining architectures. The difference between pattern conception and pattern recognition models lead to the categorization of information processing ...
Characterization of Drug Use Patterns Using Process Mining and Temporal Abstraction Digital Phenotyping
(2019)
Understanding and identifying executed patterns, activitiesand processes for patients of different characteristics provides medicalexperts a deep understanding of which tasks are critical in the providedcare, and may help ...
Reducing the Number of Canonical Form Tests for Frequent Subgraph Mining
(Revista Computación y Sistemas; Vol. 15 No. 2, 2011-12-13)
Abstract. Frequent connected subgraph (FCS) mining is an interesting problem with wide applications in real life. Most of the FCS mining algorithms have been focused on detecting duplicate candidates using canonical form ...
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 ...