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Data Mining in E-Commerce


# 69626
Data Mining in E-Commerce
Examines data mining in e-commerce.
3,220 words (approx. 12.9 pages) | 9 sources | APA | 2005 United States


Paper Summary:

This paper examines data mining in e-commerce and discusses the various types of modeling used to make the data meaningful to e-tailers. The advantages and pitfalls of data mining and an explanation of how it has transformed e-commerce are detailed. The paper includes an abstract and table of contents.

From the Paper:

"Data mining as applied to e-commerce is a breakthrough technology that can gather information in an automated fashion and build models used to predict customer purchasing decisions with remarkable accuracy ..."

Cite this paper

APA Citation:

Data Mining in E-Commerce (2012, January 15). Retrieved February 10, 2012, from http://www.academon.com/Research-Paper-Data-Mining-in-E-Commerce/69626

MLA Citation:

"Data Mining in E-Commerce" 15 January 2012. Web. 10 Feb. 2012. <http://www.academon.com/Research-Paper-Data-Mining-in-E-Commerce/69626>




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The Research Group US
Publisher Since:
Nov 08, 2002
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