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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 ...
Hash based mining algorithm for maximal frequent item sets using linear probing
(Universidade Federal de Lavras (UFLA), 2009)
MR-Radix: a multi-relational data mining algorithm
(2012)
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 ...
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 ...
Hardware acceleration of frequent itemsets mining on data streams
(Instituto Nacional de Astrofísica, Óptica y Electrónica, 2017)
Hardware acceleration of frequent itemsets mining on data streams
(Instituto Nacional de Astrofísica, Óptica y Electrónica, 2017)
Comparative study of algorithms for mining association rules: Traditional approach versus multi-relational approach
(2011-12-01)
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 ...
Comparative study of algorithms for mining association rules: Traditional approach versus multi-relational approach
(2011-12-01)
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 ...