Title :
Based on Data Mining Research of Enterprise Intelligence Asset Management System
Author :
Zhang, Lei ; Liu, Junjie ; Liu, Shengpeng
Author_Institution :
Fireground Protection Res. Dept., Shanghai Fire Inst. of MPS, Shanghai, China
Abstract :
In this article, the rough set theory as the core algorithm combined with data pretreatment made up for its lack of itself, determine interest in degrees by using of analysis of confidence and support. Finally, establishment of the discernibility matrix, reduction of attributes and knowledge display by JAVA language combined with JAVA and MYSQL establish the typical JSP database applications. Intelligence asset management system based on data mining is established. Three functions, such as knowledge mining, knowledge management and the result forecast are achieved.
Keywords :
Java; SQL; asset management; corporate modelling; data mining; knowledge management; JAVA language; JSP database applications; MYSQL; attribute reduction; core algorithm; data mining research; data pretreatment; discernibility matrix; enterprise intelligence asset management system; knowledge display; knowledge management; knowledge mining; rough set theory; Algorithm design and analysis; Artificial intelligence; Asset management; Data mining; Databases; Java; Set theory; data mining; distinguish matrix; reduction of attributes; rough set;
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
DOI :
10.1109/CSSS.2012.357
