This work is licensed under the Creative Commons Attribution 4.0 International License.
Dunke, F., & Nickel, S. (2020). A data-driven methodology for the automated configuration of online algorithms. Decision Support Systems, 137, 113343.Search in Google Scholar
Rose, J., & MacGregor, O. (2021). The architecture of algorithm-driven persuasion. Journal of Information Architecture, 6(1), 7-40.Search in Google Scholar
Li, H., Lei, T., & Sun, M. (2024, January). Research on Enterprise Digital Transformation Under the All-Intelligent Network-Driven Approach. In International Conference on Innovative Computing (pp. 155-160). Singapore: Springer Nature Singapore.Search in Google Scholar
Wu, M., Kozanoglu, D. C., Min, C., & Zhang, Y. (2021). Unraveling the capabilities that enable digital transformation: A data-driven methodology and the case of artificial intelligence. Advanced Engineering Informatics, 50, 101368.Search in Google Scholar
Zhang, Y., & Wang, X. (2018, December). Big Data “Kill Cooked” Management Policy Tool Selection. In Third International Conference on Economic and Business Management (FEBM 2018) (pp. 423-425). Atlantis Press.Search in Google Scholar
Chu, J. (2021, May). Sociological Analysis of Big Data “Deceive an Acquaintance” Phenomenon in the Internet Era. In 7th International Conference on Humanities and Social Science Research (ICHSSR 2021) (pp. 358-361). Atlantis Press.Search in Google Scholar
Peker, S., Kocyigit, A., & Eren, P. E. (2017). A hybrid approach for predicting customers’ individual purchase behavior. Kybernetes, 46(10), 1614-1631.Search in Google Scholar
Chen, H. (2021). Legal Regulation on the Dilemma of” Big Data Discrimination” and its Solution. Scientific Journal of Economics and Management Research (9), DOI.Search in Google Scholar
Hacker, P., & Petkova, B. (2017). Reining in the big promise of big data: Transparency, inequality, and new regulatory frontiers. Nw. J. Tech. & Intell. Prop., 15, 1.Search in Google Scholar
Wachter, S., & Mittelstadt, B. (2019). A right to reasonable inferences: re-thinking data protection law in the age of big data and AI. Colum. Bus. L. Rev., 494.Search in Google Scholar
Drechsler, L. (2018). The price is (not) right: Data protection and discrimination in the age of pricing algorithms. European Journal of Law and Technology (2018), 9(3).Search in Google Scholar
Nie, Y., & Han, X. (2019). Research on consumers’ protection in advantageous operation of big data brokers. Cluster Computing, 22(Suppl 4), 8387-8400.Search in Google Scholar
Li, Y., & Yan, X. (2022, April). Analyze the Protection of Personal Data in the Big Data Environment from the Perspective of the Enterprise. In 2022 7th International Conference on Social Sciences and Economic Development (ICSSED 2022) (pp. 66-71). Atlantis Press.Search in Google Scholar
Busch, C. (2019). Implementing personalized law. The University of Chicago Law Review, 86(2), 309-332.Search in Google Scholar
Humerick, M. (2017). Taking AI personally: how the EU must learn to balance the interests of personal data privacy & artificial intelligence. Santa Clara High Tech. LJ, 34, 393.Search in Google Scholar
Reformasi, T. P. W., & Buamona, H. (2024). Cybersecurity Law Exploration: Personal Data Protection in 2023. Journal of Legal and Cultural Analytics, 3(3), 289-298.Search in Google Scholar
Shen, Z. (2021, January). The regulatory path of big-data price discrimination-based on economic characteristics and legal accountability. In 2021 the 3rd international conference on big data engineering and technology (BDET) (pp. 58-62).Search in Google Scholar
Engelmann, A. (2023). Algorithmic transparency as a fundamental right in the democratic rule of law: a comparative approach to regulation in European, North American, and Brazilian Contexts. Brazilian Journal of Law, Technology and Innovation, 1(2), 169-188.Search in Google Scholar
Yan Guo & Chengzhen Wang. (2024). Improvement Path of Legal System Related to ChatGPT Application Combined with Decision Tree Algorithm. Applied Mathematics and Nonlinear Sciences(1).Search in Google Scholar
Imeri Adnan,Khadraoui Abdelaziz,Dinh Thang Le & Khadraoui Djamel. (2017). Personalization of Legal and Ethical Information in ICT Platforms: The Approach of Legal Decision Tree. Computer and Information Science(1),77-77.Search in Google Scholar
Zhan Wang. (2024). Research on intelligent legal decision support system based on big data analysis. Applied Mathematics and Nonlinear Sciences(1).Search in Google Scholar
Rollins G.. (2005). The prompt, the alert, and the legal record documenting clinical decision support system. Journal of the American Health Information Management Association(2),24-31.Search in Google Scholar