Title :
Application Research of Data Mining Architecture for Intelligent Decision
Author :
Yueshun, He ; Qiulin, Ding
Author_Institution :
Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Abstract :
The large commercial transactions data implied lots of useful knowledge for business decisions, the hidden patterns and relationships could be found by data mining. This paper analyzed and pointed out the characteristics and the deficiency of the general architecture of the data mining, the general architecture of data mining was improved by the parallel processing technology and the results of data mining be saved. The parallel architecture of the data mining which made for business intelligence applications with the model storage was presented, and its characteristics were analyzed, the analysis showed that the parallel architecture of data mining has a possibility for business intelligence.
Keywords :
competitive intelligence; data mining; decision making; parallel architectures; transaction processing; business intelligence; data mining; decision making; large commercial transaction data; model storage; parallel architecture; parallel processing; Business; Data analysis; Data mining; Data warehouses; Decision making; Helium; Information analysis; Information processing; Parallel architectures; Parallel processing; architecture; business intelligence; parallel data mining; pattern base;
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.2009.81