| 自适应模糊决策树算法在数据流挖掘中的应用 |
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| 引用本文： | 朱参世,李响. 自适应模糊决策树算法在数据流挖掘中的应用[J]. 现代电子技术, 2010, 33(10): 63-65,68 |
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| 作者姓名： | 朱参世 李响 |
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| 作者单位： | 空军工程大学,工程学院,陕西,西安,710038 |
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| 摘 要： | 在网络的许多应用中数据是以流的形式存在的,例如网络流、传感器数据,以及网页点击流等,分析和挖掘这类数据,可以发现某中有价值的信息。在此,针对数据流挖掘算法中出现的一些问题（如概念漂移问题）,提出了一种自适应模糊决策树的优化算法。该算法对于解决处理数据流概念中的漂移问题有较好的效果。
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| 关 键 词： | 数据流 概念漂移 模糊决策树 数据挖掘 |
Application of Adaptive Fuzzy Decision Tree Algorithm in Data Stream Mining |
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| ZHU Can-shi,LI Xiang. Application of Adaptive Fuzzy Decision Tree Algorithm in Data Stream Mining[J]. Modern Electronic Technique, 2010, 33(10): 63-65,68 |
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| Authors: | ZHU Can-shi LI Xiang |
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| Affiliation: | ZHU Can-shi,LI Xiang (Engineering College,Air Force Engineering University,Xi'an 710038,China) |
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| Abstract: | The data was existed in many applications of network as a form of stream,such as network flow,sensor data,Web click-stream and so on,some valuable information can be found by analysing and mining such data.An adaptive fuzzy decision tree optimization algorithm is proposed according to the problems(concept drift problem) of data stream mining algorithm.The method has better results for solving the concept drift processing data stream. |
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| Keywords: | data stream concept drift fuzzy decision tree data mining |
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