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Abstract Details
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Activity Number:
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355
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Type:
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Contributed
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Date/Time:
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Tuesday, August 2, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics and Marketing
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| Abstract - #302075 |
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Title:
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Bank Branch Channel Preference Analysis
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Author(s):
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Jin Sun*+ and Bin Zhang and Ming Xie
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Companies:
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IBM Research China and IBM Research China and IBM Research China
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Address:
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Building 19# Zhongguancun Software Park,, Beijing, International, 100094, China
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Keywords:
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branch channel preference ;
information gain ;
decision tree ;
a unified feature view
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Abstract:
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ATM is an important and frequently used service channel within bank branches. How to determine the number of ATMs within a bank branch, however, is a difficult and challenging problem. To address this problem, the first step is to determine customers' preference on ATMs. In this paper, the transaction records of over ten thousand clients of a typical bank branch are investigated. Such data is used to construct a unified feature view of customers including basic information, transaction behavior, and product preference. The information gain of each feature with respect to the preference on ATMs is calculated to screen out a small subset of features with larger information gain. Based on the samples and the selected features, a decision tree is derived with a prediction accuracy of 85%.
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