Data Mining - Analysis White Papers
Predicting Customer Shopping Lists From Point-of-Sale Purchase Data
Overview This paper considers the difficult and useful problem of predicting customer purchase decisions from transaction based individual purchase history. This problem is interesting from the perspective of the KDD and machine learning community as a large-scale experimental application of well-known classification techniques, in a time-sequence domain with a high degree of systematic noise.
| Publisher | Accenture | File Format | |
|---|---|---|---|
| Date Published | May 2008 | Downloads | 5 |
| Format | White Papers | ||
| Topics | |||
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