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IFIP12
2009
13 years 2 months ago
Mining Retail Transaction Data for Targeting Customers with Headroom - A Case Study
We outline a method to model customer behavior from retail transaction data. In particular, we focus on the problem of recommending relevant products to consumers. Addressing this ...
Madhu Shashanka, Michael Giering
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
14 years 5 months ago
Predicting customer shopping lists from point-of-sale purchase data
This paper describes a prototype that predicts the shopping lists for customers in a retail store. The shopping list prediction is one aspect of a larger system we have developed ...
Chad M. Cumby, Andrew E. Fano, Rayid Ghani, Marko ...
ICDM
2002
IEEE
109views Data Mining» more  ICDM 2002»
13 years 9 months ago
Using Text Mining to Infer Semantic Attributes for Retail Data Mining
Current Data Mining techniques usually do not have a mechanism to automatically infer semantic features inherent in the data being “mined”. The semantics are either injected i...
Rayid Ghani, Andrew E. Fano
AUSDM
2008
Springer
224views Data Mining» more  AUSDM 2008»
13 years 6 months ago
Customer Event Rate Estimation Using Particle Filters
Estimating the rate at which events happen has been studied under various guises and in different settings. We are interested in the specific case of consumerinitiated events or t...
Harsha Honnappa
ICDM
2006
IEEE
161views Data Mining» more  ICDM 2006»
13 years 11 months ago
Personalization in Context: Does Context Matter When Building Personalized Customer Models?
The idea that context is important when predicting customer behavior has been maintained by scholars in marketing and data mining. However, no systematic study measuring how much ...
Michele Gorgoglione, Cosimo Palmisano, Alexander T...