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机译:水文时间序列数据挖掘中的相似度搜索和模式发现
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, P. R. China State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, P. R. China;
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, P. R. China;
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, P. R. China;
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, P. R. China;
data mining; hydrological time series; clustering; dynamic time warping; similarity search; pattern discovery;
机译:在动态时间规整下对多个时间序列流上的众多模式进行相似性搜索,从而支持数据归一化
机译:时间序列数据挖掘的盾构隧道运行相似度搜索与性能预测
机译:在季风前期的水文时间序列数据挖掘中发现洪水上升规律
机译:基于数据挖掘的水文时间序列的相似性研究
机译:基于多媒体和时间序列数据的基于模式的数据挖掘。
机译:在时序医学数据库中挖掘有趣的模式:多尺度匹配和粗糙聚类的混合方法
机译:水文时间序列数据挖掘中的相似性搜索和模式发现