KDK BASED DOUBLE-BASIS FUSION MECHANISM AND ITS PROCESS MODEL

Author:

YANG BINGRU1,SHEN JIANGTAO1,SONG WEI1

Affiliation:

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

Abstract

Knowledge Discovery in Knowledge Base (KDK) opens new horizons for research. KDK and KDD (Knowledge Discovery in Database) are the different cognitive field and discovery process. In most people's view, they are independent each other. In this paper we can summarize the following tasks: Firstly, we discussed that two kinds of the process model and mining algorithm of KDK based on facts and rules in knowledge base. Secondly, we proves that the inherent relation between KDD and KDK (i.e. double-basis fusion mechanism). Thirdly, we gained the new process model and implementation technology of KDK*. Finally, the imitation experimentation proved that the validity of above mechanism and process model.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Artificial Intelligence

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The Breakthrough of the Big Data Process Model under the Fourth Paradigm;2015 International Conference on Computational Science and Computational Intelligence (CSCI);2015-12

2. Knowledge Discovery from Knowledge Bases with Higher-Order Logic;Proceedings of the 4th International Conference on Computer Engineering and Networks;2015

3. A new intelligent prediction system model-the compound pyramid model;Science China Information Sciences;2012-02-25

4. The Cognitive-Base Knowledge Acquisition in Expert System;Advances in Intelligent Systems and Computing;2012

5. Preserving Private Knowledge In Decision Tree Learning;Journal of Computers;2010-05-01

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