Title :
The Research Using Self-Organizing Maps on Enterprise Economic Data
Author_Institution :
Coll. of E-Bus., South China Univ. of Technol., Guangzhou, China
Abstract :
In this paper, firstly, it introduces the importance of integration system in enterprise economic management and gives the classification model of integration system on enterprise economic data after analyzing the importance of the classification of enterprise economic data. Secondly, the method of Self-Organizing Maps (SOM) is put forward to economic data classification and the field sets are chosen that are based on the enterprise economic data and the classification of enterprise economic data is got using the method of SOM. Finally, the conclusions are given.
Keywords :
business data processing; classification; corporate modelling; self-organising feature maps; vector quantisation; economic data classification; enterprise economic data; enterprise economic management; field sets; self-organizing maps; Clustering algorithms; Conference management; Databases; Educational institutions; Information processing; Neurons; Prototypes; Self organizing feature maps; Technology management; Vector quantization; SOM; enterprise economic data; system classification;
Conference_Titel :
Information Processing, 2009. APCIP 2009. Asia-Pacific Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-0-7695-3699-6
DOI :
10.1109/APCIP.2009.285
