| 一种基于滑动窗口的一趟数据流聚类算法 |
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| 引用本文： | 程军锋,王治和,刘,佳,等.一种基于滑动窗口的一趟数据流聚类算法[J].首都师范大学学报(自然科学版),2014(4):38-40. |
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| 作者姓名： | 程军锋 王治和 刘 佳 |
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| 作者单位： | [1]西北师范大学计算机科学与工程学院,甘肃兰州730070; [2]陇南师范高等专科学校物理与信息技术系,甘肃陇南742500 |
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| 摘 要： | 在海量的动态数据流中发现有价值的知识,是数据挖掘技术研究的重要问题.研究数据流聚类,根据数据流的特点,提出了一种基于滑动窗口的一趟数据流挖掘的算法,对原有的一趟数据流聚类算法进行了改进,增强了一趟数据流聚类算法的扩展性,改进了数据流聚类的质量.
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| 关 键 词： | 数据流 挖掘 聚类 算法 滑动窗口 |
A Kind of One Pass Clustering Algorithm for Data Dtream Based on Sliding Window |
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| Affiliation: | Cheng Junfeng Wang Zhihe Liu Jia Pan Lina (1. College of Computer Science and Engineering, Northwest Normal University, Lanzhou Gansu 730070 ; 2. Department of Physics and information technology, Longnan Teachers College, Longnan Gansu 742500) |
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| Abstract: | The value of knowledge discovery in amount of dynamic data stream, It is an important problem in data mining technology research. Research on data stream clustering, based on the characteristics of data streams, a one pass clustering algorithm based on sliding window was proposed. It improved the original one pass data stream clustering algorithm, enhanced the scalability of one pass data stream clustering algorithm and improved the quality of the data stream clustering. |
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| Keywords: | data stream data mining cluster algorithm sliding window |
| 本文献已被 CNKI 维普 等数据库收录！ |
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