APPLICATION OF DATA MINING ALGORITHM IN INTELLIGENCE ANALYSIS OF ENTERPRISE ECONOMIC INTELLIGENCE

Abstract

With the continuous development and application of high-speed information technology such as the Internet, the acquisition and utilization of economic intelligence has an important impact on the operation of the national economy and the operation of enterprises. Based on the detailed analysis of data mining algorithms, this paper constructs a user classification model based on clustering algorithm and a user interest feature extraction model based on UR-LDA, and uses the improved K-means algorithm in an unsupervised manner. User clustering was carried out, and data mining experiments were conducted on users of Sina Weibo. The experimental results show that the user data extracted from the interest feature topic is clustered by the improved K-means, and six similar user clusters are obtained. The better clustering results are obtained, which indicates that the classification model constructed in this paper is effective.