| 基于频度的概念漂移中低频概念的消减 |
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| 引用本文： | 侯传宇,胡学钢.基于频度的概念漂移中低频概念的消减[J].合肥工业大学学报(自然科学版),2009,32(1). |
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| 作者姓名： | 侯传宇 胡学钢 |
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| 作者单位： | 1. 合肥工业大学,计算机与信息学院,安徽,合肥,230009;宿州学院,数学系,安徽,宿州,234000
2. 合肥工业大学,计算机与信息学院,安徽,合肥,230009 |
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| 基金项目： | 宿州学院自然科学基金 |
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| 摘 要： | 由于数据流中概念漂移现象的影响,使得传统的分类方法不再适用,因此研究快速、精确及稳定的数据流挖掘方法和系统具有较高的理论和应用价值;文章研究了基于频度的概念漂移中低频概念对分类时空性能的影响,提出了对其中的低频概念进行消减的算法,实验表明LFCR算法比RePro算法有更好的分类性能。
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| 关 键 词： | 分类算法 概念漂移 低频概念 |
Reduction of low frequency concepts in the concept drift based on the frequency |
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| HOU Chuan-yu,HU Xue-gang.Reduction of low frequency concepts in the concept drift based on the frequency[J].Journal of Hefei University of Technology(Natural Science),2009,32(1). |
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| Authors: | HOU Chuan-yu HU Xue-gang |
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| Abstract: | The traditional algorithms of classification are no longer suitable because of the effect of the concept drift in data streaming.The research on fast and stable data mining systems with high accuracy has become more valuable in both theory and practice.The effect of low frequency concepts on time and space performance is studied and an LFCR algorithm is proposed in this paper,which reduces the low frequency concept with some mechanisms.The extensive experimental study shows that LFCR has improved performance in classification in comparison with RePro. |
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| Keywords: | classification algorithm concept drift low frequency concept |
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