Open AccessAPPLICATION OF DATA MINING ALGORITHM IN INTELLIGENCE ANALYSIS OF ENTERPRISE ECONOMIC INTELLIGENCE
Author(s) -
G. E. WEI,
Luxiong Gao,
Fanfeng Shi
Publication year - 2018
Publication title -
latin american applied research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.123
H-Index - 23
eISSN - 1851-8796
pISSN - 0327-0793
DOI - 10.52292/j.laar.2018.238
Subject(s) - cluster analysis , computer science , data mining , k means clustering , the internet , business intelligence , feature (linguistics) , artificial intelligence , machine learning , world wide web , linguistics , philosophy
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.