DocumentCode :
507826
Title :
RBFCM Based Heuristic Coordinator Algorithm for KDD
Author :
Peng, Zhen ; Yang, Bingru ; Xie, Yonghong
Author_Institution :
Dept. of Comput., Beijing Univ. of Sci. & Technol., Beijing, China
Volume :
5
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
68
Lastpage :
72
Abstract :
Heuristic coordinator, as an import part in KDD systems based on double bases cooperating mechanism, can simulate ¿creating intent¿ of cognitive psychology feature and enhance the ability of self-cognition. With the aim to improve the cognitive feature and the performance of heuristic coordinator, the paper proposes one new heuristic coordinator algorithm, which uses rule based fuzzy cognitive map to represent knowledge and to be effective inference in order to get non-association state of knowledge base for directional mining shortage knowledge in massive database. And the experiment demonstrates that the approach effectively reduces the searching space and increases the intelligence of knowledge discovery compared with the directed hyper-graph based method.
Keywords :
cognition; data mining; fuzzy set theory; inference mechanisms; knowledge based systems; knowledge representation; KDD systems; RBFCM based heuristic coordinator algorithm; cognitive psychology feature; directed hypergraph based method; directional mining shortage knowledge; double bases cooperating mechanism; fuzzy cognitive map; inference; knowledge base system; knowledge discovery in database system; knowledge representation; Computer simulation; Electronic mail; Fuzzy cognitive maps; Heuristic algorithms; Inference algorithms; Inference mechanisms; Knowledge representation; Psychology; Spatial databases; Topology; Knowledge Discovery in Database (KDD); Rule Based Fuzzy Cognitive Map (RBFCM); accessible matrix; directional mining; double bases cooperating mechanism; heuristic coordinator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
Type :
conf
DOI :
10.1109/ICNC.2009.18
Filename :
5363311
Link To Document :
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