Calculation and Analysis of Supermarket Data Based on the Optimization Mathematical Model
Authors: 
Yulin Hou, Hanyu Du, Wenzhe JinAuthors Info & Claims
Yulin Hou, Hanyu Du, Wenzhe JinAuthors Info & ClaimsPages 731 - 735
Abstract
This article uses methods such as computational modeling and data analysis to analyze the statistical laws of commercial super large data. Based on this, a mathematical model for optimizing maximum revenue decision-making is established to obtain maximum revenue. Firstly, data preprocessing is carried out, starting from the perspective of big data of different vegetable categories, using the time series method in data analysis to calculate the data and obtain statistical distribution patterns. Then, using the K-means clustering and Sperman correlation coefficient methods in computational modeling, draw a thermal map of the correlation coefficients to obtain their interrelationships. Then, considering various constraint factors, establish a mathematical model for optimizing the maximum profit decision, and use Matlab programming to obtain the optimal solution when the profit is maximum.
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Index Terms
- Calculation and Analysis of Supermarket Data Based on the Optimization Mathematical Model
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Published In
December 2023
917 pages
ISBN:9798400716669
DOI:10.1145/3659211
Copyright © 2023 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 29 May 2024
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- Refereed limited
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BDEIM 2023
BDEIM 2023: 2023 4th International Conference on Big Data Economy and Information Management
December 8 - 10, 2023
Zhengzhou, China
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