An Interest Support Based Subspace Clustering Approach to Predicting Repurchases

6 Pages Posted: 3 Feb 2009

See all articles by Wei Gao

Wei Gao

Fordham University - Gabelli School of Business

zhuo yang

affiliation not provided to SSRN

Olivia R. Liu Sheng

University of Utah - David Eccles School of Business

Date Written: August 7, 2007

Abstract

We propose an interest support based subspace clustering approach to improving the performance of predicting interesting behaviors. The approach uses particular heuristics to discover interesting subspace clusters more efficiently and selects a proper set of subspace clusters to build a cluster based classification model. We evaluate our approach using synthetic data and a real world application of predicting customer repurchase behavior. The experimental results show our approach is effective in discovering interesting and interpretable clusters that provide better prediction on customer repurchase behavior.

Suggested Citation

Gao, Wei and yang, zhuo and Sheng, Olivia R. Liu, An Interest Support Based Subspace Clustering Approach to Predicting Repurchases (August 7, 2007). Available at SSRN: https://ssrn.com/abstract=1336805 or http://dx.doi.org/10.2139/ssrn.1336805

Wei Gao (Contact Author)

Fordham University - Gabelli School of Business ( email )

113 West 60th Street
Bronx, NY 10458
United States

Zhuo Yang

affiliation not provided to SSRN

Olivia R. Liu Sheng

University of Utah - David Eccles School of Business ( email )

1645 E Campus Center Dr
Salt Lake City, UT 84112-9303
United States
801-585-9071 (Phone)

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