The Novel Model of Construct Materials Science and Information Based on Association Rule Mining

The material is used by humans to manufacture the machines, components, devices and other products of substances. Association rules originated in the field of data mining, people use it to find large amounts of data between itemsets of the association. Apriori is a breadth-first algorithm to obtain...

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Bibliographic Details
Published inApplied Mechanics and Materials Vol. 327; pp. 197 - 200
Main Authors Cao, Ying Cun, Kuang, Guo Fang
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.06.2013
Subjects
Materials science
Materials Science
Association Rule
Data Mining (DM)
Information System
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Summary:The material is used by humans to manufacture the machines, components, devices and other products of substances. Association rules originated in the field of data mining, people use it to find large amounts of data between itemsets of the association. Apriori is a breadth-first algorithm to obtain the support is greater than the minimum support of frequent itemsets by repeatedly scanning the database. This paper presents the construction of materials science and information model based on association rule mining. Experimental data sets prove that the proposed algorithm is effective and reasonable.
Bibliography:Selected, peer reviewed papers from the 2nd International Conference on Intelligent Materials, Applied Mechanics and Design Science (IMAMD 2013), April 13-14, 2013, Guangzhou, China
ISBN:303785717X
9783037857175
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.327.197