An approach based on data mining and genetic algorithm to optimizing time series clustering for efficient segmentation of customer behavior

An approach based on data mining and genetic algorithm to optimizing time series clustering for efficient segmentation of customer behavior

In today's highly competitive market, organizations face significant challenges in accurately understanding and segmenting customer behavior due to the inherently dynamic and evolving nature of customer interactions over time. Traditional customer segmentation methods often neglect these tempor...

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Bibliographic Details
Main Authors: Hodjat (Hojatollah) Hamidi, Bahare Haghi
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Computers in Human Behavior Reports
Subjects:
Dynamic segmentation
Feature optimization
Genetic algorithm
Time series analysis
Clustering techniques
Customer behavior analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S2451958824001532
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