Implementation of Hierarchical Database Attributes Covering in Multidetector A-R Mining Algorithm

Shu Feng Jiang

doi:10.4028/www.scientific.net/AMM.151.560

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 151Implementation of Hierarchical Database Attributes...

Implementation of Hierarchical Database Attributes Covering in Multidetector A-R Mining Algorithm

Abstract:

With the development of artificial intelligence and data warehouse application development,Intelligent and efficient data mining technology has become the huge data bottleneck, This paper studies stratification theory improved technology to realize the property overrides hierarchical database, Data pretreatment based on the mining algorithm, Through in-depth analysis and research, Improved the A-R algorithm, Realize the problem scope expanded and improved the classical association rules mining algorithm efficiency, Based on the realization of the multilevel association rules mining based on the attribute weights of attributes covering hierarchical database mining methods,To improve the mining knowledge representation systems automation capabilities and data mining algorithm and its application to extended practical problems

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Periodical:

Applied Mechanics and Materials (Volume 151)

Pages:

560-564

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.151.560

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Online since:

January 2012

Authors:

Shu Feng Jiang

Keywords:

Association Rule, Classification Algorithm of Multilayer A-R Attribute Weights, Classification of Attribute Weighting, Multiple-Level Association Rules of Data Mining

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