NDLI: Apriori, Association Rules, Data Mining,Frequent Itemsets Mining (FIM), Parallel Computing

Content Provider	IEEE Xplore Digital Library
Author	Yoshikawa, M. Terai, H.
Copyright Year	2006
Description	Author affiliation: Ritsumeikan Univ. Japan (Yoshikawa, M.)
Abstract	The job-shop scheduling problem is concerned with allocating limited resources to operations over time. Although the job shop scheduling has an important role in various fields, it is one of the most difficult problems in combinational optimization. In this paper, we propose a new scheduling technique that combines Ant Colony Optimization (ACO) with GT method in order to realize effective scheduling. ACO approach has been applied recently to several combinational optimization problems, e.g., TSP and scheduling problem. However, no studies have ever seen the approach of applying hybrid ACO to job-shop problems. Experimental results using benchmark data show improvement comparison with a conventional scheduling technique.
Starting Page	95
Ending Page	100
File Size	515700
Page Count	6
File Format	PDF
ISBN	076952656X
DOI	10.1109/SERA.2006.17
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Association rules Itemsets Data mining Parallel processing Optimal scheduling Job shop scheduling Ant colony optimization Resource management Single machine scheduling Cost function
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
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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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Apriori, Association Rules, Data Mining,Frequent Itemsets Mining (FIM), Parallel Computing