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