DocumentCode :
2774396
Title :
One RBFCM based maintenance coordinator algorithm of KDD
Author :
Peng, Zhen ; Yang, Bingru ; Bai, Lei
Author_Institution :
Dept. of Comput., North China Inst. of Sci. & Technol., Beijing, China
fYear :
2009
fDate :
17-19 June 2009
Firstpage :
3892
Lastpage :
3895
Abstract :
With the aim to improve the KDD process model and achieve the double bases(database and knowledge base) cooperating mechanism, the paper proposed one RBFCM based maintenance coordinator algorithm, which used RBFCM, a soft computing methodology, representing knowledge and inference in order to maintain in time knowledge base harmonizing with the database. On the one hand, maintenance coordinator algorithm need to keep the knowledge base up with database when three conditions happens, on the other hand, it can automatically solve self contradictions problems existing in knowledge base. Knowledge discovery systems equipped with the maintenance coordinator can evidently enhance the rehabilitation, self cognition and efficiency.
Keywords :
data mining; database management systems; fuzzy set theory; knowledge based systems; knowledge representation; software maintenance; KDD process model; RBFCM based maintenance coordinator algorithm; knowledge discovery in database; knowledge representation; rule-based fuzzy cognitive map; soft computing methodology; Cognition; Data engineering; Electronic mail; Fuzzy cognitive maps; Inference algorithms; Knowledge engineering; Knowledge representation; Paper technology; Psychology; Relational databases; Double Bases Cooperating Mechanism; Knowledge Discovery in Database (KDD); Maintenance Coordinator; Rule-based Fuzzy Cognitive Map (RBFCM);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
Type :
conf
DOI :
10.1109/CCDC.2009.5191496
Filename :
5191496
Link To Document :
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