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The Novel Model of Construct Materials Science and Information Based on Association Rule Mining
- Source :
- Applied Mechanics and Materials. 327:197-200
- Publication Year :
- 2013
- Publisher :
- Trans Tech Publications, Ltd., 2013.
-
Abstract
- 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.
- Subjects :
- Apriori algorithm
Engineering
Materials science
Association rule learning
business.industry
Association (object-oriented programming)
InformationSystems_DATABASEMANAGEMENT
General Medicine
Construct (python library)
computer.software_genre
Field (computer science)
Information model
Information system
Data mining
business
computer
FSA-Red Algorithm
Subjects
Details
- ISSN :
- 16627482
- Volume :
- 327
- Database :
- OpenAIRE
- Journal :
- Applied Mechanics and Materials
- Accession number :
- edsair.doi...........3fe8437ea7873d88b505d9ea5332c784