Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)

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Big Data Mining Method of New Retail Economy Based on Association Rules

Authors
Ying Liu1, *
1School of Business, Jinggangshan University, Ji’an, China
*Corresponding author. Email: liuying1979@jgsu.edu.cn
Corresponding Author
Ying Liu
Available Online 20 December 2022.
DOI
10.2991/978-94-6463-030-5_159How to use a DOI?
Keywords
Association Rules; Big Data Of New Retail Economy; Data Mining; K-Means Clustering; Interest Degree
Abstract

There are many sparse items in the data of new retail industry, and the extracted association rules are redundant, which leads to the problems of low temporal and spatial efficiency and poor mining quality when applied to the data mining of new retail economy. In order to improve the quality of data mining, a new retail economy big data mining method based on association rules is proposed. The k-means algorithm is used to subdivide the customer groups under the new retail economic model and extract the corresponding data association rules. Introduce interest threshold to filter association rules. The weight of frequent set is introduced to establish frequent item tree, and FP-Growth algorithm is improved to realize big data mining of new retail economy. Simulation results show that when the proposed data mining method is applied to the big data processing of the new retail economy, the execution efficiency and execution quality are improved by at least 27.5%.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
20 December 2022
ISBN
10.2991/978-94-6463-030-5_159
ISSN
2589-4919
DOI
10.2991/978-94-6463-030-5_159How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Ying Liu
PY  - 2022
DA  - 2022/12/20
TI  - Big Data Mining Method of New Retail Economy Based on Association Rules
BT  - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
PB  - Atlantis Press
SP  - 1583
EP  - 1590
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-030-5_159
DO  - 10.2991/978-94-6463-030-5_159
ID  - Liu2022
ER  -