Application of Big Data in the Research of Intelligent Information Management System

Data analysis and mining play an important role in the research of intelligent information management system, but there is a problem of inaccurate information management. Traditional machine learning cannot solve the information management problem in the research of intelligent information management system, and the effect is not satisfactory. Therefore, this paper proposes the application of intelligent information management system based on big data, and the application of intelligent information management system research an analysis was carried out. Firstly, The key is your guiding theory, es, to reduce the interference factors in data analysis and mining. Then, the dataset theory is used to form a big data analysis and mining scheme, and the data analysis and mining results are comprehensively analyzed. The MATLAB simulation results show that under certain evaluation criteria, big data is better than traditional machine learning in terms of data analysis and mining accuracy, data analysis and mining influencing factor time.

I. Introduction

Data analysis and mining are a very important part of the research of intelligent [1] information management system [2], which can make the precise control of information management system achieve faster implementation [3]. However, in the process of data analysis and mining [4], there is a problem of poor accuracy in the data analysis and mining scheme [5], which has a certain negative impact on the information management system [6]. Some scholars believe that the application of big data to the analysis [7] of information management system can effectively analyze [8] data analysis and mining schemes [9], and provide corresponding support for data analysis and mining [9]. On this basis, this paper proposes big data, optimizes the data analysis and mining scheme, and verifies the effectiveness of the model [11].