DocumentCode
3121315
Title
Research on the process with closure after mining in KDD
Author
Huang, Shao-jun ; Liu, Yu-zhen ; Yang, Tian-liang
Author_Institution
Dept. of Comput., Anshan Univ. of Sci. & Technol., China
Volume
4
fYear
2002
fDate
4-5 Nov. 2002
Firstpage
2036
Abstract
To guarantee the quality of knowledge base, how to process a great deal of new discovered and meaningless hypotheses is very important. If the knowledge in knowledge base is represented in produced rule, and the conditions of the rule and all the results that the rule can reach by reference mechanism compose a set, then the set is a closure of the knowledge base. Acquiring the closure of a knowledge base can acquire. minimum knowledge base, and then the new discovered hypotheses can be processed by using minimum knowledge base. The experiments demonstrate that the process with closure after mining in KDD to identify the hypotheses is effective and efficient.
Keywords
data mining; deductive databases; KDD; closure; data mining; databases; knowledge base quality; knowledge discovery; minimum knowledge base; Algorithm design and analysis; Artificial intelligence; Concrete; Knowledge management; Polynomials;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN
0-7803-7508-4
Type
conf
DOI
10.1109/ICMLC.2002.1175395
Filename
1175395
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