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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
DOI :
10.1109/ICMLC.2002.1175395