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

Application of Big Data in Industry and Commerce Based on Data Mining Algorithm

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  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342618,
        author={Haifeng  Liao},
        title={Application of Big Data in Industry and Commerce Based on Data Mining 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={data collection big data for industry and commerce data mining algorithms traditional data processing data decisions},
        doi={10.4108/eai.17-11-2023.2342618}
    }
    
  • Haifeng Liao
    Year: 2024
    Application of Big Data in Industry and Commerce Based on Data Mining Algorithm
    ICSETPSD
    EAI
    DOI: 10.4108/eai.17-11-2023.2342618
Haifeng Liao1,*
  • 1: Guangdong University of Science and Technology, Dongguan, Guangdong, China
*Contact email: lhd8898@yeah.net

Abstract

Data collection is the main content industrial and commercial big data, but in the process of big data processing, the quality of data and the source of data will be processed. The result is an impact and reduces the accuracy of big data for business and industry. To improve the effectiveness of data, The data mining algorithm to mine and analyze industrial and commercial big data, improve the development level of industrial and commercial big data, and shorten it data decision making time. Then, a comprehensive evaluation of the big data of industry and commerce is carried out. The continuous monitoring can analyze big data processing results. The data mining algorithm can accurately mine industrial and commercial big data, take the level of industrial and commercial big data, and the rationality is greater, and is better than traditional data processing methods. Therefore, the data mining algorithm can meet the requirements of big data collation, the big data algorithm will optimize the level and management indicators of business administration, and is suitable for the continuous analysis of the development.