Exploiting OLAP and Data Mining for augmenting E-business

被引:0
|
作者
Mangla, Monika [1 ]
机构
[1] Terna Engn Coll, Dept Comp, Nerul, Navi Mumbai, India
关键词
Data mining; Online Analytic Processing (OLAP); Association rules; e-business; transactions;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Mushrooming of e-business has been at a swift rate during past decade. In this scenario every day a new e-retailer is entering the world of e-business thus increasing competition in the area [1]. Any e-retailer would be able to sustain in this neck to neck competition if he is capable of attracting new customers along with retaining persistent customers. The data mining techniques, when implemented on the data available with the store is capable of understanding interesting patterns in the transactions made by customers [2] [3]. The paper presented discusses the usage of OLAP and data mining in detecting buying patterns from the data lying with the log files.
引用
收藏
页码:182 / 183
页数:2
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