CUSTOMER SEGMENTATION IN PRIVATE BANKING SECTOR USING MACHINE LEARNING TECHNIQUES

被引：13

作者：

Smeureanu, Ion ^{[1
]}

Ruxanda, Gheorghe ^{[1
]}

Badea, Laura Maria ^{[1
]}

机构：

[1] Bucharest Univ Econ Studies, Fac Cybernet Stat & Econ Informat, Bucharest 010374, Romania

来源：

JOURNAL OF BUSINESS ECONOMICS AND MANAGEMENT | 2013年 / 14卷 / 05期

关键词：

machine learning; neural networks; support vector machines; customer segmentation; private banking;

D O I：

10.3846/16111699.2012.749807

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Machine learning techniques have proven good performance in classification matters of all kinds: medical diagnosis, character recognition, credit default and fraud prediction, and also foreign exchange market prognosis. Customer segmentation in private banking sector is an important step for profitable business development, enabling financial institutions to address their products and services to homogeneous classes of customers. This paper approaches two of the most popular machine learning techniques, Neural Networks and Support Vector Machines, and describes how each of these perform in a segmentation process.

引用

页码：923 / 939

页数：17

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