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
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