The Library
A data mining methodology for cross sales
Tools
Tools
Tools
Anand, Sarabjot Singh, Patrick, A. R., Hughes, J. G. and Bell, D. A. (1998) A data mining methodology for cross sales. Knowledge-Based Systems, Volume 10 (Number 7). pp. 449-461. ISSN 0950-7051.
Research output not available from this repository.
Request-a-Copy directly from author or use local Library Get it For Me service.
Official URL: http://dx.doi.org/10.1016/S0950-7051(98)00035-5
Abstract
In this paper we discuss the use of Data Mining to provide a solution to the problem of cross-sales. We define and analyse the cross-sales problem and develop a hybrid methodology to solve it, using characteristic rule discovery and deviation detection. Deviation detection is used as a measure of interest to filter out the less interesting characteristic rules and only retain the best characteristic rules discovered. The effect of domain knowledge on the interestingness value of the discovered rules is discussed and techniques for refining the knowledge to increase this interestingness measure are studied. We also investigate the use of externally procured lifestyle and other survey data for data enrichment and discuss its use as additional domain knowledge. The developed methodology has been applied to a real world cross-sales problem within the financial sector, and the results are also presented in this paper. Although the application described is in the financial sector, the methodology is generic in nature and can be applied to other sectors.
| Item Type: | Journal Article | ||||
|---|---|---|---|---|---|
| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
| Journal or Publication Title: | Knowledge-Based Systems | ||||
| Publisher: | Elsevier | ||||
| ISSN: | 0950-7051 | ||||
| Official Date: | May 1998 | ||||
| Dates: |
|
||||
| Volume: | Volume 10 | ||||
| Number: | Number 7 | ||||
| Page Range: | pp. 449-461 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Restricted or Subscription Access |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
