Similarity Matching Algorithm of Multiple Granularities Time-series Data

摘要：

Focused on the present status that the algorithm of measuring time-series distance is many but the appropriate algorithm of measuring multiple granularities time-series is few, the paper advanced a similarity matching algorithm of multiple granularities time-series based on the ideal of time calibrator and hypothesis test. It firstly expounded the definition of multiple granularities time-series, furthermore proposed a sample of distance; secondly it put forward the similarity matching algorithm of multiple granularities timeseries; finally, the experimental result proved that the algorithm can effectively reflect the time-series of multiple granularities.

关键词： time-series similarity matching time granularity distance measure

作者: Wenning Hao Enlai Zhao Hongjun Zhang Gang Chen Shuining Zhao

作者单位: Engineering Institute of Engineer Corps, PLA University of Science & Technology 21007 Nanjing, China

会议类型: 国际会议

会议名称: 2010年IEEE多媒体信息网络与安全国际会议

会议地点: 南京

会议语种:英文

页码: 861-865

在线出版日期: 2010-11-01（万方平台首次上网日期，不代表论文的发表时间）