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Research on Personal Credit Scoring Model Based on Artificial Intelligence

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Application of Intelligent Systems in Multi-modal Information Analytics (MMIA 2019)

Abstract

Artificial intelligence is considered to be the technological commanding height of the next era. At present, after the development of China’s artificial intelligence industry ranks in the United States, its application in the financial field is also in a new stage of rapid development, and affects many aspects of the financial industry, thus strengthening its research is of great significance. The continuous development of artificial intelligence technology has been widely used in many aspects of financial services, which is of great significance for the realization of its modeling, standardization and intelligent development. However, there are still security risks hidden in the application, which requires attention to this. aspects of the research to identify effective measures for risk prevention, this paper analyzes the application of artificial intelligence in the financial sector in the personal credit score.

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References

  1. Jiang M, Pei XU, Xiao R et al (2015) Research on algorithms development and optimization for personal credit scoring. J Harbin Inst Technol 47(5):40–45

    Google Scholar 

  2. Fuentescabrera J, Pérezvicente H (2015) Credit scoring model for payroll issuers: a real case. In: Mexican international conference on artificial intelligence

    Google Scholar 

  3. Luo C, Wu D, Wu D (2016) A deep learning approach for credit scoring using credit default swaps. Eng Appl Artif Intell 65

    Google Scholar 

  4. Pedro JS, Proserpio D, Oliver N (2015) MobiScore: towards universal credit scoring from mobile phone data, vol 9146, pp 195–207

    Google Scholar 

  5. Ishii K (2017) Comparative legal study on privacy and personal data protection for robots equipped with artificial intelligence: looking at functional and technological aspects. AI Soc (1):1–25

    Google Scholar 

  6. FoxBusiness (2015) Artificial Intelligence scores high at arcade; Google program beats gamers at ‘Space Invaders’. Fox Business

    Google Scholar 

  7. Abidoye RB, Chan APC (2017) Valuers’ receptiveness to the application of artificial intelligence in property valuation. Pac Rim Prop Res J 23(2):1–19

    Google Scholar 

  8. Alaraj M, Abbod MF (2016) Classifiers consensus system approach for credit scoring. Knowl-Based Syst 104:89–105

    Article  Google Scholar 

  9. Qi J, Liu X, Tejedor J et al (2017) Unsupervised submodular rank aggregation on score-based permutations

    Google Scholar 

  10. Zou S (2017) Designing and practice of a college English teaching platform based on artificial intelligence. J Comput Theoret Nanosci 14(1):104–108

    Article  Google Scholar 

  11. Bennett CC (2015) Clinical decision-making artificial intelligence object oriented system and method

    Google Scholar 

  12. Wang S, Cong Y, Cao J et al (2016) Scalable gastroscopic video summarization via similar-inhibition dictionary selection. Artif Intell Med 66:1–13

    Article  Google Scholar 

  13. Haim G, Gal Y, An B et al (2017) Human–computer negotiation in a three player market setting. Artif Intell 246:34–52

    Article  MathSciNet  Google Scholar 

  14. Dashtban M, Balafar M (2017) Gene selection for microarray cancer classification using a new evolutionary method employing artificial intelligence concepts. Genomics 109(2):91–107

    Article  Google Scholar 

  15. Uto M, Ueno M (2018) Item response theory without restriction of equal interval scale for rater’s score. In: International conference on artificial intelligence in education. Springer, Cham, pp 363–368

    Google Scholar 

  16. Duan X, Thomsen NB, Tan ZH et al (2017) Weighted score based fast converging CO-training with application to audio-visual person identification. In: IEEE international conference on TOOLS with artificial intelligence. IEEE Computer Society, pp 610–617

    Google Scholar 

  17. Chang M, Chang M, Chang M et al (2017) iWordNet: a new approach to cognitive science and artificial intelligence. Adv Artif Intell 2017(3):1–10

    Google Scholar 

  18. Yuan E, Dan G, Xuegang HU et al (2016) Frequent pattern mining from biological sequences based on score matrix. Pattern Recogn Artif Intell

    Google Scholar 

  19. Oliver N (2016) Data-driven human behavior models: opportunities and challenges. In: Spanish conference on information retrieval. ACM, p 1

    Google Scholar 

  20. Buza K (2016) ParkinsoNET: estimation of UPDRS score using hubness-aware feedforward neural networks. Appl Artif Intell 30(6):541–555

    Article  Google Scholar 

Download references

Acknowledgement

The paper is a periodical achievement of the 2018 scientific research program of Beijing Institute of Technology, Zhuhai (XK-2018-19).

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Correspondence to Shangqian Lu .

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Liu, C., Huang, H., Lu, S. (2019). Research on Personal Credit Scoring Model Based on Artificial Intelligence. In: Sugumaran, V., Xu, Z., P., S., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2019. Advances in Intelligent Systems and Computing, vol 929. Springer, Cham. https://doi.org/10.1007/978-3-030-15740-1_64

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