Study on Data Mining Technology for Online and Offline E-Commerce Users Based on Big Data-Reference-Cited by-同舟云学术

Study on Data Mining Technology for Online and Offline E-Commerce Users Based on Big Data

Published:2023-04-21 Issue: Volume: Page:
ISSN:
Container-title:2023 8th International Conference on Computer and Communication Systems (ICCCS)
language:
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Author:

Bu Yantao¹,Liu Shanshan²

Affiliation:

1. Computer and Information Engineering College, Guizhou University of Commerce,Guiyang,Guizhou,China

2. Guizhou University of Commerce,Department of Foreign Languages,Guiyang,Guizhou,China

Funder

Natural Science Research Project of Guizhou Provincial De partment of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10150427/10150444/10151375.pdf?arnumber=10151375

Reference15 articles.

1. Mining Complex Data Streams: Discretization, Attribute Selection and Classification;dewan;Journal of Advances in Information Technology,2013

2. Social Media Fake Profile Detection Using Data Mining Technique;nitika;Journal of Advances in Information Technology,2022

3. Data mining and application of social e-commerce users based on big data of internet of things

4. On Performance Evaluation of Mining Algorithm for Multiple-Level Association Rules based on Scale-up Characteristics;suraj;Journal of Advances in Information Technology,2011

5. A Predictive Model for Heart Disease Detection Using Data Mining Techniques;jakkrit;Journal of Advances in Information Technology,2021

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