First CLADAG data mining prize : data mining for longitudinal data with different marketing campaigns
Akacha, Mouna, Fonseca, Thaís C. O. and Liverani, Silvia (2009) First CLADAG data mining prize : data mining for longitudinal data with different marketing campaigns. Working Paper. Coventry: University of Warwick. Centre for Research in Statistical Methodology. Working papers, Vol.2009 (No.46).
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Official URL: http://www2.warwick.ac.uk/fac/sci/statistics/crism...
The CLAssification and Data Analysis Group (CLADAG) of the Italian
Statistical Society recently organised a competition, the 'Young Researcher Data
Mining Prize' sponsored by the SAS Institute. This paper was the winning entry
and in it we detail our approach to the problem proposed and our results. The main
methods used are linear regression, mixture models, Bayesian autoregressive and
Bayesian dynamic models.
|Item Type:||Working or Discussion Paper (Working Paper)|
|Subjects:||Q Science > QA Mathematics|
|Divisions:||Faculty of Science > Statistics|
|Library of Congress Subject Headings (LCSH):||Data mining, Longitudinal method, Marketing -- Econometric models|
|Series Name:||Working papers|
|Publisher:||University of Warwick. Centre for Research in Statistical Methodology|
|Place of Publication:||Coventry|
|Number of Pages:||22|
|Status:||Not Peer Reviewed|
|Access rights to Published version:||Open Access|
|Funder:||University of Warwick. Centre for Research in Statistical Methodology|
1. Belsley, D.A., E. Kuh, and R.E. Welsch (2004). Regression Diagnostics: Identifying Influential
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