Information Integrity Evaluation of Information System Integration Based on Bayesian Algorithm. Issue 1 (February 2020)

• Record Type: Journal Article
• Authors: Liu, Liyuan; Luo, Jinman; Gao, Chengfang; Zhao, Shanlong
• Is Part Of: IOP conference series. Volume 750:Issue 1(2020)
• Publication Date: 2020-02
• Subjects: Bayesian algorithm -- Information system -- Integrated integrity; Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/750/1/012182
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: Information system integration information needs safe and effective data. Ensuring the stability and integrity of data is a crucial step to realize the information integration of information system. As for data integrity, there have been a lot of studies in the academic field. Most of the research directions are based on the macro perspective, discussing what is integrity, how to guarantee technology and other theoretical studies that need to be discussed from a holistic perspective, belonging to the qualitative research provided for information integrity of information system integration, while quantitative research is a little insufficient. This research focuses on quantitative research, the Bayesian prediction algorithm compared with other prediction algorithm, the Bayesian prediction algorithm is used to calculate the integrity transition probability of quantitative evaluation model, in order to get the parameter value, to demonstrate that the Bayesian algorithm is more suitable for forecasting the integrity of the information system integration evaluation, data is used to demonstrate the Bayesian prediction algorithm for information system integration information integrity evaluation more efficient and applicable.