Now showing items 1-10 of 3059
Multi-relational algorithm for mining association rules in large databases
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 ComputaçãoCâmpus 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 ...
Comparative study of algorithms for mining association rules: Traditional approach versus multi-relational approach
The multi-relational Data Mining approach has emerged as alternative to the analysis of structured data, such as relational databases. Unlike traditional algorithms, the multi-relational proposals allow mining directly ...
MR-Radix: a multi-relational data mining algorithm
Background: Once multi-relational approach has emerged as an alternative for analyzing structured data such as relational databases, since they allow applying data mining in multiple tables directly, thus avoiding expensive ...
A methodology for dynamic data mining based on fuzzy clustering
(ELSEVIER SCIENCE BV, 2005-03-01)
Dynamic data mining is increasingly attracting attention from the respective research community. On the other hand, users of installed data mining systems are also interested in the related techniques and will be even more ...
3D geovisualisation techniques applied in spatial data mining
The increase in the number of spatial data collected has motivated the development of geovisualisation techniques, aiming to provide an important resource to support the extraction of knowledge and decision making. One of ...
Minería y Personalización de un Sitio Web para Celulares
(Universidad de ChilePrograma Cybertesis, 2007)