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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Published in | Applied Mechanics and Materials Vol. 327; pp. 197 - 200 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Zurich
Trans Tech Publications Ltd
01.06.2013
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Subjects | |
Online Access | Get full text |
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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. |
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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 |