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A Supplier Selection Criteria Using Boolean Association Rule Mining
Om Prakash, Sunil Kumar, Anil Gupta
Pages - 37 - 44     |    Revised - 01-07-2011     |    Published - 05-08-2011
Published in International Journal of Software Engineering (IJSE)
Volume - 2   Issue - 3    |    Publication Date - July / August 2011  Table of Contents
MORE INFORMATION
References   |   Abstracting & Indexing
KEYWORDS
Association rule mining, Support, Confidence, Suppliers selection, processing time
ABSTRACT
Supplier selection is a multi criteria problem, nowadays it is very difficult to select a good supplier among huge number of suppliers. To select a good supplier among numbers of supplier we include both qualitative and quantitative factors. In this project we use Boolean association rule mining to count the support and confidence of suppliers which is based on different qualitative and quantitative criteria of suppliers. These projects generate a rule with some support and confidence and select the supplier who satisfied the criteria condition (Boolean association rule).
ABSTRACTING & INDEXING
1 Google Scholar 
2 CiteSeerX 
3 refSeek 
4 Scribd 
5 SlideShare 
6 PdfSR 
REFERENCES
. Thomas, S., et al. “An Efficient Algorithm for the Incremental Updation of Association Rules in Large Databases”. In Knowledge Discovery and Data Mining. 1997.
Agrawal, R. and K. Shim, “Developing tightly-coupled Data Mining Applications on a Relational Database System.” In 1995, IBM Almaden Research Center: San Jose,California.
C.A. Weber, J.R. Current and A. Desai, “An optimization approach to determining the number of vendors to employ, Supply Chain Management” In an International Journal 5 (2)(2000), pp. 90–98.
E. Timmerman, 1986. “An approach to vendor performance evaluation”, In J. Purchasing Mater. Mgmt. Winter, 2-8.
G. Wang, S.H. Huang and J.P. Dismukes, “Product-driven supply chain selection using integrated multi-criteria decision-making methodology”, In International Journal of Production Economics 91 (1) (2004), pp. 1–15.
Hongen, Z.“Mining and Visualization of Association Rules over Relational DBMSs”, In CSE.2000, UFL: Gainesville.
L. De Boer, E. Labro and P. Morlacchi, “A review of methods supporting supplier selection”,In European Journal of Purchasing & Supply Management 7 (2) (2001), pp. 75–89.
Meo, R., G. Psaila, and S. Ceri. “A New SQL-like Operator for Mining Association Rules” In Proceedings of the 22nd VLDB Conference. 1996. Mumbai, India.
Om Prakash, Rashid Ali, “A comparative study of supplier selection methods and association rule mining technique for supplier selection process” In CMEMS, UIT Allahabad,2010.
Sarawagi, S., S. Thomas, and R. Agrawal. “Integrating Association Rule Mining with Relational Database System: Alternatives and Implications. In ACM SIGMOD” In Int l Conference on Management of Data. 1998. Seattle, Washington.
Sung Ho Ha and Ramayya Krishnan, “A hybrid approach to supplierSelection for the maintenance of a competitive supply chain, ExpertSystems with Applications”, In Volume 34,Issue 2, February 2008, Pages 1303-1311
Thomas, S. and S. Chakravarthy. “Incremental Mining of Constrained Associations”. In Proc.of the 7th Intl. Conf. of High Performance Computing (HiPC). 2000.
Thomas, S., “Architectures and optimizations for integrating Data Mining algorithms with Database Systems”, In CSE. 1998, University of Florida: Gainesville.
Thuraisingham, B., “A Primer for Understanding and Applying Data Mining”. In IEEE, 2000.Vol. 2, No.1: p. 28-31.
MANUSCRIPT AUTHORS
Mr. Om Prakash
UIT,Allahabad - India
omprakash026@rediffmail.com
Mr. Sunil Kumar
- India
Mr. Anil Gupta
-


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