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DOI:
计算机系统应用英文版:2012,21(11):58-62
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基于时序特征的物联网社区划分算法
(安徽师范大学 数学计算机科学学院, 芜湖 241000)
Community Partition Algorithm Based on Timing Characteristics Under Internet of Things
(School of Mathematics and Computer Science, Anhui Normal University, Hefei 230039, China)
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Received:March 19, 2012    Revised:May 14, 2012
中文摘要: 针对物联网环境下的社区划分问题, 提出一种基于时序特征的社区划分算法. 首先给出时序数据的相关定义; 然后对物联网社区的时序数据进行预处理, 提出了物联网社区划分算法, 并进行了算法性能分析. 通过实际网络社区数据的仿真实验表明该算法的高效性.
中文关键词: 时序特征  区间模糊  物联网  社区  划分算法
Abstract:In order to solve service community dividing problems in the IOT environment, a new community partition algorithm which is based on timing characteristics on community was proposed. First, the paper gives the definition relevant to time series data; then presents timing data pre-processing schema. Finally, the proposed algorithm performance was analyzed. The simulation results show that the proposed algorithm is feasible.
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基金项目:中国博士后基金(20100480701);教育部人文社科青年基金(11YJC880119)
引用文本:
王杨,黄亚坤,张林静.基于时序特征的物联网社区划分算法.计算机系统应用,2012,21(11):58-62
WANG Yang,HUANG Ya-Kun,ZHANG Lin-Jing.Community Partition Algorithm Based on Timing Characteristics Under Internet of Things.COMPUTER SYSTEMS APPLICATIONS,2012,21(11):58-62