RBFCM Based Heuristic Coordinator Algorithm for KDD

Zhen Peng, Bingru Yang, Yonghong Xie
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Abstract

Heuristic coordinator, as an import part in KDD systems based on double bases cooperating mechanism, can simulate “creating intent” of cognitive psychology feature and enhance the ability of self-cognition. With the aim to improve the cognitive feature and the performance of heuristic coordinator, the paper proposes one new heuristic coordinator algorithm, which uses rule based fuzzy cognitive map to represent knowledge and to be effective inference in order to get non-association state of knowledge base for directional mining shortage knowledge in massive database. And the experiment demonstrates that the approach effectively reduces the searching space and increases the intelligence of knowledge discovery compared with the directed hyper-graph based method.
基于RBFCM的KDD启发式协调算法
启发式协调器作为基于双基协同机制的知识开发系统的重要组成部分,能够模拟认知心理特征的“创造意图”,增强自我认知能力。为了提高启发式协调器的认知特性和性能,本文提出了一种新的启发式协调器算法,该算法利用基于规则的模糊认知图来表示知识并进行有效的推理,以便在海量数据库中定向挖掘短缺知识时获得知识库的非关联状态。实验表明,与基于有向超图的方法相比,该方法有效地减少了搜索空间,提高了知识发现的智能度。
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