| 基于动态数据流挖掘的案例推理及其应用 |
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| 引用本文： | 戴奇波,倪志伟,王超,姜苗.基于动态数据流挖掘的案例推理及其应用[J].计算机工程与应用,2011,47(19):31-34. |
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| 作者姓名： | 戴奇波 倪志伟 王超 姜苗 |
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| 作者单位： | 合肥工业大学管理学院,合肥230009;过程优化与智能决策教育部重点实验室,合肥230009 |
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| 基金项目： | 国家高技术研究发展计划(863)，国家自然科学基金 |
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| 摘 要： | 知识的获取、知识库的更新是案例推理技术的应用瓶颈,而许多案例推理系统中的知识库都是静态不变的,满足不了实际问题变化的需要。首先阐述了相关概念,接着提出了一种基于动态数据流挖掘的案例推理模型,其中动态数据流挖掘算法采用改进的数据流聚类算法。通过此模型使用基于动态数据流挖掘的案例推理技术,对数据进行实时挖掘,产生连续、动态的临时案例库,实现知识库的实时更新,从而满足实际问题变化的需要。最后通过该模型在实际中的应用说明其有效性。
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| 关 键 词： | 数据流 案例推理 聚类 |
| 修稿时间： | |
Case based reasoning and application based on dynamic data stream mining |
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| DAI Qibo,NI Zhiwei,WANG Chao,JIANG Miao.Case based reasoning and application based on dynamic data stream mining[J].Computer Engineering and Applications,2011,47(19):31-34. |
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| Authors: | DAI Qibo NI Zhiwei WANG Chao JIANG Miao |
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| Affiliation: | 1,21.School of Management,Hefei University of Technology,Hefei 230009,China 2.Key Laboratory of Process Optimization and Intelligent Decision-making,Ministry of Education,Heifei 230009,China |
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| Abstract: | The application of case-based reasoning is restricted by the knowledge acquisition and the knowledge base updating.Many knowledge bases in the case-based reasoning system are static and unchangeable,and can not satisfy the change of practical problems.This paper describes the relevant concepts and presents a model of CBR based on dynamic data stream mining,and gives an improved clustering algorithm of data stream.Through this model the system can mine real-time datum, produce continuous,dynamic temporary cases,update the knowledge base in real time and meet the needs of the practical problems.Finally,the application of the model in practice verifies its efficiency. |
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| Keywords: | data stream case based reasoning clustering |
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