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Title of Journal: J Intell Manuf

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Abbravation: Journal of Intelligent Manufacturing

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Springer US

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DOI

10.1007/bf01255895

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1572-8145

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An intelligent simulation model of online consumer

Authors: Gültekin Çağil Mehmet Bilgehan Erdem
Publish Date: 2010/07/30
Volume: 23, Issue: 4, Pages: 1015-1022
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Abstract

This paper describes the design of an Intelligent Simulation Model of Online Consumer Behavior ISMOCB that incorporates a knowledge base using some form of the Artificial Intelligence methods such as Naïve Bayes Classifier and Artificial Neural Networks This study investigates modeling online consumer behavior by using demographic characteristics such as age gender marital status educational status monthly income and number of people in the family This will provide producing more synthetic data and creating an “Artificial Database” which includes the demographics of online consumers and their purchase transactions The model is built for online shopping based on empirical data gathered in Turkey via an online survey Two different inference systems are used for which product group is chosen by whom has which demographic characteristics The quality of the data gathered exclusively for this project allows a fine validation of the simulation results

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