DATA ANALYSIS MODEL OPTIMIZATION AND ARTIFICIAL POTENTIAL FIELD ALGORITHM FUSION APPLICATION IN THE INFORMATION SYSTEM

This paper discusses the fusion application of data analysis model optimization and artificial potential field algorithm in information system. This paper expounds the importance of data analysis in information system, and introduces the principle and characteristics of artificial potential field algorithm in detail. Through the research on the optimization method of data analysis model, the innovative idea of combining artificial potential field algorithm and data analysis model is proposed, including the strategy, step and technical realization of algorithm fusion. Analyze the fusion application in data clustering, path planning, abnormal detection of the advantages and effect, through the experimental comparison verified the effectiveness and superiority of the fusion method, to improve the ability of data analysis and intelligent level provides a powerful technical support and theoretical basis, has important application value and research significance.