Written in 2005; 3,220 words; 9 sources; APA; $ 111.95
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 ..."
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