交互式中医超知识发现系统

Tongyuan Wang, Huzhan Zheng, Yanjiang Qiao
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引用次数: 3

摘要

提出的超知识发现系统旨在方便领域用户从复杂数据集中交互式地发现知识。在第一阶段,该系统将数据预处理、词典建立和数据库建设集成在一起。为领域用户提供了灵活而模糊的信息检索和知识挖掘机制。该系统介绍了一种求任意多值状态变量的联合概率分布的方法。这是从复杂数据源中挖掘相关性和因果关系的基础。为了实现这些目标,系统创造性地利用了关系数据库和SQL引擎的功能,以减少编程,同时获得良好的性能。所有的功能都是在线的,因此促进了资源和知识的共享。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Interactive Hyper Knowledge Discovery System for Chinese Medicine
The proposed hyper knowledge discovery system is designed to facilitate domain users to interactively discover knowledge from complex data sets. At the first stage, this system integrates data preprocess, lexicon establishment and database construction together. Then it provides domain users with flexibility and fuzzy mechanism to retrieve information and mine knowledge interactively. The system introduces an approach to obtain joint probability distributions of an arbitrary number of variables of multi valued states. This is fundamental for mining correlation and causal relations from the complex data sources. To attain these objectives, the system creatively exploits the functionalities of the relational database and SQL engine to reduce programming while achieving good performance. All the functionalities are online and hence facilitate resource and knowledge sharing.
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