Analysis of Consumption Behavior Characteristics of Business Users Based on Dissimilarity Function Improved K-Means Clustering Algorithm-Reference-Cited by-同舟云学术

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Analysis of Consumption Behavior Characteristics of Business Users Based on Dissimilarity Function Improved K-Means Clustering Algorithm

Published:2022-12-09 Issue: Volume: Page:
ISSN:
Container-title:2022 6th Asian Conference on Artificial Intelligence Technology (ACAIT)
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Author:

Shen Jin¹,Mei Lin²,Sun Yating³

Affiliation:

1. Wenhua College,Department of Economics and Management,Wuhan,Hubei,China,430074

2. Teaching Quality Testing and Evaluation Center Wenhua College,Wuhan,Hubei,China,430074

3. Editorial Office Wuhan e-works Technology Co., Ltd.,Wuhan,Hubei,China,430223

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10137730/10137768/10137956.pdf?arnumber=10137956

Reference15 articles.

1. APP user behavior analysis method based on convolutional neural network[J];chen;Computer Science,2022

2. Design and implementation of user behavior analysis platform based on big data technology[J];wu;Computer Knowledge and Technology,2021

3. Research and analysis of college students' online behavior based on K-means algorithm[J];tang;Modern information technology,2022

4. Spark based E-commerce user behavior analysis system[J];he;Information Technology and Informatization,2021

5. User behavior analysis based on big data and artificial intelligence[J];pan;Modern Computer,2021

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