Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India

Research Article

System of Mining and Analysis of Business Administration Data Based on POS Intelligent Algorithm

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  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342792,
        author={Peixian  Wu},
        title={System of Mining and Analysis of Business Administration Data Based on POS Intelligent Algorithm},
        proceedings={Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India},
        publisher={EAI},
        proceedings_a={ICSETPSD},
        year={2024},
        month={1},
        keywords={business administration data data mining pos intelligent algorithm},
        doi={10.4108/eai.17-11-2023.2342792}
    }
    
  • Peixian Wu
    Year: 2024
    System of Mining and Analysis of Business Administration Data Based on POS Intelligent Algorithm
    ICSETPSD
    EAI
    DOI: 10.4108/eai.17-11-2023.2342792
Peixian Wu1,*
  • 1: Lyceum of the Philippines University, Claro Reto Institute for Advanced Study, Manila, the Philippines
*Contact email: 38562401@qq.com

Abstract

The blockchain consensus algorithm ensures that blocks in the blockchain are generated in an orderly manner according to timestamps, and the algorithm ensures that blocks are automatically and quickly generated by the main node. In order to better utilize internet platforms, more and more enterprises choose to use the internet as their operating platform to expand their sales channels. This article analyzes the actual needs of enterprises and combines their own characteristics to design a business management data mining and analysis system. This paper analyzes the sales data of a company's retail department through POS intelligent algorithm, gives the results of Analysis of algorithms, and applies them to the business management data mining and analysis system. This article summarizes and analyzes business management data and makes predictions, providing a basis for further optimization of the system, and to some extent improving the efficiency of data processing for small and medium-sized enterprises.