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Research on BP neural network model-based data mining technique in KOL identification
- 1 Baoding University of Technology
- 2 Baoding University of Technology
- 3 Baoding University of Technology
- 4 Baoding University of Technology
* Author to whom correspondence should be addressed.
Abstract
Accompanied by the development of artificial intelligence industry, to play the data value of web crawler technology has been the focus of research in the field of computer network and data science, and the data mining technology based on artificial neural network intelligent algorithm is widely used. In view of this, this paper takes the BP neural network data mining technology, which has excellent nonlinear mapping capability, parallel processing capability and fault tolerance and is widely used, as the basis, and integrates the methods and ideas of data mining into the mining of data laws in the field of KOL identification of key opinion leaders, with a view to finding valuable intrinsic laws and relationships between the mining of web crawler technology and the identification of KOL features. The research content of this paper mainly includes two aspects of research work, the design of high-performance data mining technology and the actual work in the field of KOL recognition. On the one hand, this paper comprehensively describes the basic theory and methods of data mining, and focuses on the in-depth analysis and elaboration of BP neural network-based data mining technology on the basis of understanding and analyzing a variety of data mining technologies. On the other hand, this paper aims to solve the problem of bias in the prediction of traditional KOL model and design the experimental method of KOL recognition by BP neural network algorithm.
Keywords
BP neural network, web crawler, key opinion leader, data value.
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Cite this article
Hou,J.;Li,T.;Wu,Y.;Wang,P. (2024). Research on BP neural network model-based data mining technique in KOL identification. Theoretical and Natural Science,53,67-72.
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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 2nd International Conference on Applied Physics and Mathematical Modeling
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