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Reseach Article

A Distance-Based Approach for Mining Changes in Purchase Behavior in Retail Sale

by Pradip Kumar Bala
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 5
Year of Publication: 2010
Authors: Pradip Kumar Bala
10.5120/122-237

Pradip Kumar Bala . A Distance-Based Approach for Mining Changes in Purchase Behavior in Retail Sale. International Journal of Computer Applications. 1, 5 ( February 2010), 60-64. DOI=10.5120/122-237

@article{ 10.5120/122-237,
author = { Pradip Kumar Bala },
title = { A Distance-Based Approach for Mining Changes in Purchase Behavior in Retail Sale },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 5 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 60-64 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number5/122-237/ },
doi = { 10.5120/122-237 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:44:25.617287+05:30
%A Pradip Kumar Bala
%T A Distance-Based Approach for Mining Changes in Purchase Behavior in Retail Sale
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 5
%P 60-64
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The research paper proposes the relevance of a distance-based approach for change mining and suggests a technique for distance-based change mining. Change mining gives an insight to the retailers on the changing purchase behavior of the shoppers. The research makes an attempt to account for the distance between the attribute-values within a feature of the customer-profile while measuring the similarity between two patterns.

References
  1. Dong, G., & Li, J. (1999). Efficient mining of emerging patterns: discovering trends and differences, KDD-99
  2. Liu, B., & Hsu, W. (1996). Post-analysis of learned rules. Proceedings of the Thirteenth National Conference on KDD (PAKDD), 220-232.
  3. Padmanabhan, B., & Tuzhilin (1999). Unexpectedness as a measure of interestingness in knowledge discovery. Decision Support Systems, 27, 303-318.
  4. Song, H.S., Kim, J.K., & Kim, S.H. (2001). Mining the change of customer behavior in an internet shopping mall. Expert System with Applications, 21(3), 157-168.
  5. Chen, M.C., Chiu, A.L., & Chang, H.H. (2005). Mining changes in customer behavior in retail marketing. Expert System with Applications, 28, 773-781.
Index Terms

Computer Science
Information Sciences

Keywords

Association Rule Change Mining Data Mining Distance-Based Mining Pattern Changes