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Journal of Applied Sciences
  Year: 2004 | Volume: 4 | Issue: 3 | Page No.: 344-353
DOI: 10.3923/jas.2004.344.353
 
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Improving Business Efficacy with Revised Graph-based Mining Association Rules
K.Q. Yan and S.C. Wang

Abstract:
Due to the internationalization of the domestic business environment nowadays, competitions that every company has to survive have come not merely from the challenges of other local companies but from everywhere around the world. With the revised graph-based mining association rules we offer, all we need is one database scan process. After the scan, the bit vector corresponding to each product can be established and any association rule can then be arbitrarily picked out for rule mining. This way, exhaustive, repetitive scans over the whole database will no longer be necessary. Our revised graph-based mining association rules are quite so flexible that they can be adaptively used for distinct association rule mining in distinct fields.
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How to cite this article:

K.Q. Yan and S.C. Wang, 2004. Improving Business Efficacy with Revised Graph-based Mining Association Rules. Journal of Applied Sciences, 4: 344-353.

DOI: 10.3923/jas.2004.344.353

URL: https://scialert.net/abstract/?doi=jas.2004.344.353

 
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