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Research on Factor Space Engineering and Application of Evidence Factor Mining in Evidence-based Reconstruction

Author

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  • Binxiang Jiang

    (China University of Political Science and Law
    China University of Political Science and Law
    Shandong University)

Abstract

The factor space theory proposed by Professor Peizhuang Wang, after nearly 40 years of theoretical research by Mr. Wang and in-depth exploration and research by many other scholars, has formed a relatively complete theoretical system and has certain practical methods. However, the engineering and universal application system of factor space has not been completely constructed. The text data is found in large Numbers in this paper, based on the current document the reality of this type of unstructured data, to study and put forward factors space engineering concept and the process method of space engineering research direction to factors, application for Mr. Wang's theory of factors space exploration methods and way to solve the scientific, so that the space can be ground to take root, carry forward. Given prison mobsters education reform is long-term proposition of criminal execution theory and practice research, evidence-based rehabilitation practice test is effective method, but for evidence-based transformation, the biggest bottleneck is the evidence of the evidence-based library is lack of scientific recognition, expression, and evidence to construction and retrieval, etc., I am responsible for the large data of evidence-based rehabilitation research, The author actively explores the application of factor space engineering research to the evidence factor space system of evidence-based reform of criminals and applies factor space engineering theory to evidence-based evidence research practice.

Suggested Citation

  • Binxiang Jiang, 2022. "Research on Factor Space Engineering and Application of Evidence Factor Mining in Evidence-based Reconstruction," Annals of Data Science, Springer, vol. 9(3), pages 503-537, June.
    • Handle: RePEc:spr:aodasc:v:9:y:2022:i:3:d:10.1007_s40745-022-00388-7
    DOI: 10.1007/s40745-022-00388-7
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    References listed on IDEAS

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    1. James M. Tien, 2017. "Internet of Things, Real-Time Decision Making, and Artificial Intelligence," Annals of Data Science, Springer, vol. 4(2), pages 149-178, June.
    2. Peizhuang Wang & He Ouyang & Yixin Zhong & Huacan He, 2016. "Cognition Math Based on Factor Space," Annals of Data Science, Springer, vol. 3(3), pages 281-303, September.
    3. Feng Liu & Yong Shi, 2020. "Investigating Laws of Intelligence Based on AI IQ Research," Annals of Data Science, Springer, vol. 7(3), pages 399-416, September.
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    Cited by:

    1. Ambedkar Kanapala & Sukomal Pal & Suresh Dara & Srikanth Jannu, 2024. "Applying an Information Retrieval Approach to Retrieve Relevant Articles in the Legal Domain," Annals of Data Science, Springer, vol. 11(5), pages 1563-1580, October.

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