Research on E-Commerce Review Data Mining Based on Differential Evolution Particle Swarm

In order to realize the accurate mining of e-commerce review data, a clustering method based on adaptive clustering center ranking and differential evolution optimization particle swarm algorithm is proposed. In order to improve the compactness and accuracy of clustering results, the adaptive cluste...

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Veröffentlicht in:	2023 7th Asian Conference on Artificial Intelligence Technology (ACAIT) S. 1040 - 1046
Hauptverfasser:	Liang, Jiafu, Li, Meiqiong
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 10.11.2023
Schlagworte:	Clustering algorithms data analysis Data mining differential evolution algorithm E-commerce platform Electronic commerce Particle swarm optimization Reviews Sociology user review Vectors
Online-Zugang:	Volltext
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