| 多粒度时间下的近似周期挖掘研究 |
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| 引用本文： | 姜 华,孟志青,周克江,肖建华.多粒度时间下的近似周期挖掘研究[J].计算机工程,2010,36(3):83-85,8. |
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| 作者姓名： | 姜 华 孟志青 周克江 肖建华 |
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| 作者单位： | (1. 湖南第一师范学院信息科学与工程系，长沙 410205；2. 浙江工业大学经贸管理学院，杭州 310023) |
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| 摘 要： | 研究时态数据库中多粒度时间下的近似周期的挖掘问题。在多粒度时间、多粒度时间格式的基础上引入多粒度时间间隔的定义以及相关性质，构造多粒度近似周期模型，提出一个基于SOM聚类的多粒度近似周期的挖掘算法。利用高频股票数据580000宝钢JBT1进行实验，证明了该算法的有效性。
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| 关 键 词： | 数据挖掘 自组织映射网络 多粒度时间 近似周期 |
Study of Approximate Periodicity Mining with Multi-granularity Time |
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| JIANG Hua,MENG Zhi-qing,ZHOU Ke-jiang,XIAO Jian-hua.Study of Approximate Periodicity Mining with Multi-granularity Time[J].Computer Engineering,2010,36(3):83-85,8. |
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| Authors: | JIANG Hua MENG Zhi-qing ZHOU Ke-jiang XIAO Jian-hua |
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| Affiliation: | (1. Dept. of Information Science and Engineering, Hunan First Normal University, Changsha 410205; 2. College of Business and Administration, Zhejiang University of Technology, Hangzhou 310023) |
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| Abstract: | This paper discusses a mining problem of approximate periodicity with multi-granularity time in the temporal database. It introduces the concepts and properties of the multi-granularity time interval on the basis of multi-granularity time and multi-granularity time format. It constructs multi-granularity approximate periodic pattern. It proposes an mining algorithm based on self-organizing map to find multi-granularity approximate periodic pattern. Results obtained from experiments on high frequency stock market data of 580000 Bao Steel JBT1 demonstrate that the proposed algorithm is efficient. |
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| Keywords: | data mining Self-Organizing Map(SOM) network multi-granularity time approximate periodicity |
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