NDLI: Genetic Algorithm-Based Rules Discovery for Networked Manufacturing Resources Management

Content Provider	IEEE Xplore Digital Library
Author	Bin Wang Ning Zhou Defang Liu Linzhen Zhou Ping Wang
Copyright Year	2008
Description	Author affiliation: UGS Sch., Yancheng Inst. of Technol., Yancheng (Bin Wang; Ning Zhou; Defang Liu; Linzhen Zhou; Ping Wang)
Abstract	To choose and manage networked manufacturing resources efficiently, a fuzzy association rules mining technique was proposed. According to the analysis of all data types, a specialized data preprocessing method was applied to extract, wash and transform networked manufacturing resources data, and a self-contained data warehouse on networked manufacturing resources was established for data preprocessing. To deal with the fuzzy association rules mining on manufacturing resources platform, a novel genetic algorithm (GA) based mining method was introduced. Considering the characteristics of networked manufacturing resources, double-level encoding and label-bit switching operator were designed to make the improved GA available to networked manufacturing resources. Finally, a case was employed to demonstrate the practicality of applying fuzzy association rules mining based on GA in networked manufacturing resources management.
Starting Page	1
Ending Page	4
File Size	141350
Page Count	4
File Format	PDF
ISBN	9781424421077
DOI	10.1109/WiCom.2008.2508
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Manufacturing processes Databases Data preprocessing Data warehouses Resource management Association rules Data mining Genetic algorithms Quality management
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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