Ranking Potential Customers Based on Group-Ensemble
نویسندگان
چکیده
Ranking potential customers has become an effective tool for company decision makers to design marketing strategies. The task of PAKDD competition 2007 is a cross-selling problem between credit card and home loan, which can also be treated as a ranking potential customers problem. This article proposes a 3-level ranking model, namely Group-Ensemble, to handle such kinds of problems. In our model, Bagging, RankBoost and Expending Regression Tree are applied to solve crucial data mining problems like data imbalance, missing value and time-variant distribution. The article verifies the model with data provided by PAKDD Competition 2007 and shows that Group-Ensemble can make selling strategy much more efficient. Ranking Potential Customers Based on Group-Ensemble
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ورودعنوان ژورنال:
- IJDWM
دوره 4 شماره
صفحات -
تاریخ انتشار 2008