Method of Enterprise Information Software System (EISS) Monitoring Based on Grey Analysis and Data Clustering

Method of enterprise information software system (EISS) monitoring based on grey analysis and data clustering are jointly discussed in this paper. The application of management information system in enterprise management should bring convenience to enterprise management, but also bring higher efficiency to enterprise management. This paper focuses on the 2 aspects of novelties. First, preprocessing in data mining is mainly to extract the task-related knowledge sources and conduct legality checks. The proposed research work adopts k-means and BP neural network to construct the efficient data processing model. Second, comprehensive evaluation model will be based on automatic evaluation, supplemented by the manual evaluation based on the k-factor. The proposed model is used to evaluate the performance of the proposed framework. Through the analysis of simulations, the performance is verified.