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Strategic Study of CAE >> 2003, Volume 5, Issue 6

Research on the Structure Model and Mining Algorithm for Knowledge Discovery Based on Knowledge Base (KDK)

School of Information Engineering , University of Science and Technology Beijing, Beijing 100083, China

Funding project:国家自然科学基金重点资助项目(69835001);北京市自然科学基金资助项目(4022008) Received: 2002-12-27 Revised: 2003-02-25 Available online: 2003-06-20

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Abstract

Knowledge discovery in knowledge base (KDK) is a brand-new task. Its success will directly act on the construction of large knowledge base, and, at present, it is important to the solving of the bottleneck of machine study—discovering knowledge. The main work of this paper is: The inductive structure of KDK based on the facts in knowledge base, and its algorithm and experimental verification; The inductive structure algorithm of KDK for the rules in knowledge base and its experimental verification.

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