DocumentCode :
2194727
Title :
Knowledge Mining for Intelligent Decision Making in Small and Middle Business
Author :
Li, Huamin ; Li, Xingsen ; Zhu, Zhengxiang
Author_Institution :
Ningbo Inst. of Technol., Zhejiang Univ., Ningbo, China
fYear :
2010
fDate :
2-4 April 2010
Firstpage :
734
Lastpage :
739
Abstract :
Small and middle businesses (SMBs) play an increasingly important role, but their decision making process mostly relies on skilled employees which are usually not available. Information systems can help to solve this problem to a certain extent, meanwhile they also cause information explosion or even knowledge overload which confuses the decision makers. As an extended research of intelligent knowledge management, a knowledge mining method which can draw a knowledge relation map based on Extension Theory (Extenics) is presented. The path from conditions to the goal or the primary causes could be found through this map Therefore it can guide the managers to take actions by following all possible paths systemically and make better decisions. The application in a garment company proved its simplicity but useful value.
Keywords :
data mining; decision making; knowledge based systems; knowledge management; extension theory; information systems; intelligent decision making; intelligent knowledge management; knowledge mining; small & middle business; Decision making; Informatics; Information security; Information technology; Extenics; intelligent decision; knowledge mining; small and middle Business;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Technology and Security Informatics (IITSI), 2010 Third International Symposium on
Conference_Location :
Jinggangshan
Print_ISBN :
978-1-4244-6730-3
Electronic_ISBN :
978-1-4244-6743-3
Type :
conf
DOI :
10.1109/IITSI.2010.181
Filename :
5453702
Link To Document :
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