Comparative study of algorithms for mining association rules: Traditional approach versus multi-relational approach

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorValêncio, Carlos Roberto
dc.creatorOyama, Fernando Takeshi
dc.creatorNeto, Paulo Scarpelini
dc.creatorDe Souza, Rogéria Cristiane Gratão
dc.date2014-05-27T11:26:14Z
dc.date2016-10-25T18:35:52Z
dc.date2014-05-27T11:26:14Z
dc.date2016-10-25T18:35:52Z
dc.date2011-12-01
dc.date.accessioned2017-04-06T01:54:39Z
dc.date.available2017-04-06T01:54:39Z
dc.identifierParallel and Distributed Computing, Applications and Technologies, PDCAT Proceedings, p. 275-280.
dc.identifierhttp://hdl.handle.net/11449/72858
dc.identifierhttp://acervodigital.unesp.br/handle/11449/72858
dc.identifier10.1109/PDCAT.2011.29
dc.identifier2-s2.0-84856658965
dc.identifierhttp://dx.doi.org/10.1109/PDCAT.2011.29
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/893693
dc.descriptionThe 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 multiple tables, avoiding the costly join operations. In this paper, is presented a comparative study involving the traditional Patricia Mine algorithm and its corresponding multi-relational proposed, MR-Radix in order to evaluate the performance of two approaches for mining association rules are used for relational databases. This study presents two original contributions: the proposition of an algorithm multi-relational MR-Radix, which is efficient for use in relational databases, both in terms of execution time and in relation to memory usage and the presentation of the empirical approach multirelational advantage in performance over several tables, which avoids the costly join operations from multiple tables. © 2011 IEEE.
dc.languageeng
dc.relationParallel and Distributed Computing, Applications and Technologies, PDCAT Proceedings
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAssociation rules
dc.subjectMining frequent itemsets
dc.subjectMR-radix
dc.subjectMulti-relational data mining
dc.subjectRelational databases
dc.subjectComparative studies
dc.subjectEmpirical approach
dc.subjectExecution time
dc.subjectJoin operation
dc.subjectMemory usage
dc.subjectMining associations
dc.subjectMultirelational data mining
dc.subjectRelational Database
dc.subjectStructured data
dc.subjectData mining
dc.subjectDatabase systems
dc.subjectAlgorithms
dc.titleComparative study of algorithms for mining association rules: Traditional approach versus multi-relational approach
dc.typeOtro


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