DocumentCode :
2448296
Title :
Research on KDD Process Model and an Improved Algorithm
Author :
Peng, Zhen ; Yang, Bingru ; Ren, Hongde
Author_Institution :
Dept. of Comput., North China Inst. of Sci. & Technol., Beijing, China
fYear :
2009
fDate :
25-26 April 2009
Firstpage :
113
Lastpage :
115
Abstract :
In order to improve the performance of KDD greatly, the paper researched KDD model process based on double bases cooperating mechanism and focused on one of its part that is heuristic coordinator, which simulated the creating intent of cognitive psychology feature. And an improved heuristic coordinator algorithm was proposed. The method used FCM representing knowledge and being effective inference to get non-association state of knowledge base for directional mining knowledge in massive database automatically. Furthermore, the method greatly reduced the searching space and the complexity of the algorithm and enhanced the self-cognition ability.
Keywords :
data mining; fuzzy set theory; very large databases; FCM representing knowledge; KDD model; KDD process model; cognitive psychology feature; directional mining knowledge; double bases cooperating mechanism; heuristic coordinator; knowledge base; massive database; nonassociation state; Artificial intelligence; Computational modeling; Electronic mail; Fuzzy cognitive maps; Heuristic algorithms; Inference algorithms; Knowledge representation; Paper technology; Psychology; Spatial databases; Double Bases Cooperating Mechanism; Fuzzy Cognitive Map; Heuristic Coordinator; Knowledge Discovery in Database (KDD);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
Conference_Location :
Hainan Island
Print_ISBN :
978-0-7695-3615-6
Type :
conf
DOI :
10.1109/JCAI.2009.15
Filename :
5158952
Link To Document :
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