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...
Main Author: | E. P. Bafghi |
---|---|
Format: | Article |
Language: | English |
Published: |
D. G. Pylarinos
2017-02-01
|
Series: | Engineering, Technology & Applied Science Research |
Subjects: | |
Online Access: | https://etasr.com/index.php/ETASR/article/view/752 |
Similar Items
-
Clustering of Customers Based on Shopping Behavior and Employing Genetic Algorithms
by: E. P. Bafghi
Published: (2017-02-01) -
Optimal Localization of Shopping Centers Using Metaheuristic Genetic Algorithm
by: Mahmoud Samadi, et al.
Published: (2020-03-01) -
Behavior of the main parameters of the Genetic Algorithm for Flow Shop Scheduling Problems
by: Yunior César Fonseca Reyna, et al.
Published: (2014-01-01) -
Research and Applications of Shop Scheduling Based on Genetic Algorithms
by: Hang ZHAO, et al. -
An advanced intelligence system in customer online shopping behavior and satisfaction analysis
by: Nazmun Nessa Moon, et al.
Published: (2021-11-01)