Customer Behavior Prediction Using Web Usage Mining

Abstract View PDF Download PDF

##plugins.themes.academic_pro.article.main##

Nilesh Mali
Mayank Mangal

Abstract

Customer satisfaction is the key secret of success for all industries regardless of whether it is web enabled or not. This
paper focuses the role of web mining in achieving a viable edge in business. Web mining is becoming the tool for success for those who adopt electronic means of operation for conducting their business. Web mining is the application of data mining techniques to discover patterns from the Web through content mining, structure mining, and usage mining. Web mining can contribute to a large extent in gaining a competitive advantage in business. Business goals should be well understood.

##plugins.themes.academic_pro.article.details##

How to Cite
[1]
Nilesh Mali and Mayank Mangal, “Customer Behavior Prediction Using Web Usage Mining”, IEJRD - International Multidisciplinary Journal, vol. 3, no. 2, p. 6, Mar. 2018.

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.