Title : 
Research on the Clustering Fusion Algorithm in Enterprises Prewarning System
         
        
            Author : 
Li, Li ; Liu, Zhan-Wei
         
        
            Author_Institution : 
Dept. of Comput. Sci. & Eng., Henan Institue of Eng., Zhengzhou, China
         
        
        
        
        
        
        
            Abstract : 
In order to make the enterprise develop better and faster, It´s important that making a prediction on the enterprise´s development condition by using information fusion technology, which can make prewarning about the recessive existing problems in time. In the paper, clustering fusion algorithm and its improved algorithm were analyzed, and were applied in the prewarning system of enterprise´s operation, we got enterprise´s development model. At last, the model was proved by an enterprise´s operation datum, the two fusion algorithms were applied and compared.
         
        
            Keywords : 
business data processing; information technology; pattern clustering; clustering fusion algorithm; enterprise development condition; enterprise operation datum; enterprises prewarning system; information fusion technology; prewarning system; Algorithm design and analysis; Clustering algorithms; Fluctuations; Heuristic algorithms; Indexes; Marketing and sales; Partitioning algorithms; clustering fusion algorithm; information fusion; prewarning;
         
        
        
        
            Conference_Titel : 
System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2010 International Conference on
         
        
            Conference_Location : 
Yichang
         
        
            Print_ISBN : 
978-1-4244-8664-9
         
        
        
            DOI : 
10.1109/ICSEM.2010.153