Clustering of Customers Based on Shopping Behavior and Employing Genetic Algorithms

Clustering of customers is a vital case in marketing and customer relationship management. In traditional marketing, a market seller is categorized based on general characteristics like clients’ statistical information and their lifestyle features. However, this method seems unable to cope with toda...

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Main Author:	E. P. Bafghi
Format:	Article
Language:	English
Published:	D. G. Pylarinos 2017-02-01
Series:	Engineering, Technology & Applied Science Research
Subjects:	classification customers shopping genetic algorithm
Online Access:	https://etasr.com/index.php/ETASR/article/view/752

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spelling	doaj-98f4dda05c1d44809838eea33683b98a2020-12-02T14:35:54ZengD. G. PylarinosEngineering, Technology & Applied Science Research2241-44871792-80362017-02-0171Clustering of Customers Based on Shopping Behavior and Employing Genetic AlgorithmsE. P. Bafghi0Department of Computer, Bafgh Branch, Islamic Azad University, IranClustering of customers is a vital case in marketing and customer relationship management. In traditional marketing, a market seller is categorized based on general characteristics like clients’ statistical information and their lifestyle features. However, this method seems unable to cope with today’s challenges. In this paper, we present a method for the classification of customers based on variables such as shopping cases and financial information related to the customers’ interactions. One measure of similarity was defined as clustering and clustering quality function was further defined. Genetic algorithms been used to ensure the accuracy of clustering. https://etasr.com/index.php/ETASR/article/view/752classificationcustomersshoppinggenetic algorithm
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	E. P. Bafghi
spellingShingle	E. P. Bafghi Clustering of Customers Based on Shopping Behavior and Employing Genetic Algorithms Engineering, Technology & Applied Science Research classification customers shopping genetic algorithm
author_facet	E. P. Bafghi
author_sort	E. P. Bafghi
title	Clustering of Customers Based on Shopping Behavior and Employing Genetic Algorithms
title_short	Clustering of Customers Based on Shopping Behavior and Employing Genetic Algorithms
title_full	Clustering of Customers Based on Shopping Behavior and Employing Genetic Algorithms
title_fullStr	Clustering of Customers Based on Shopping Behavior and Employing Genetic Algorithms
title_full_unstemmed	Clustering of Customers Based on Shopping Behavior and Employing Genetic Algorithms
title_sort	clustering of customers based on shopping behavior and employing genetic algorithms
publisher	D. G. Pylarinos
series	Engineering, Technology & Applied Science Research
issn	2241-4487 1792-8036
publishDate	2017-02-01
description	Clustering of customers is a vital case in marketing and customer relationship management. In traditional marketing, a market seller is categorized based on general characteristics like clients’ statistical information and their lifestyle features. However, this method seems unable to cope with today’s challenges. In this paper, we present a method for the classification of customers based on variables such as shopping cases and financial information related to the customers’ interactions. One measure of similarity was defined as clustering and clustering quality function was further defined. Genetic algorithms been used to ensure the accuracy of clustering.
topic	classification customers shopping genetic algorithm
url	https://etasr.com/index.php/ETASR/article/view/752
work_keys_str_mv	AT epbafghi clusteringofcustomersbasedonshoppingbehaviorandemployinggeneticalgorithms
_version_	1724405735369998336

Clustering of Customers Based on Shopping Behavior and Employing Genetic Algorithms

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