DocumentCode :
2475088
Title :
Knowledge management in the industry based on the use of data-mining techniques
Author :
He, Mao ; Chen, Juan
Author_Institution :
Sch. of Manage. & Econ., Kunming Univ. of Sci. & Technol., Kunming
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
171
Lastpage :
176
Abstract :
The current emphasis in theory and practice of knowledge management (KM) is on attempts to understand knowledge creation, transmission, storage and retrieval. Data mining (DM) is intended to provide support in the complex data rich but information poor situations. In the paper we argue that data mining can make a significant contribution to a knowledge management effort. Our goal is to show how data mining techniques can be used for building organizational knowledge, which would lead to a better performance. Finally, case study is given to show data mining techniques using in knowledge management of corporation.
Keywords :
data mining; knowledge management; data-mining techniques; knowledge management; organizational knowledge; Data mining; Data warehouses; Databases; Delta modulation; Enterprise resource planning; Information retrieval; Intelligent control; Knowledge management; Pattern recognition; Storage automation; data mining; industry; knowledge management; techniques;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4592919
Filename :
4592919
Link To Document :
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