数据挖掘_cats benchmark(人工时间序列计算)new

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1、CATSbenchmark(人工时间序列计算)数据摘要：Thedatasetconsistsofatimeseries5000timestepslong.5blocksof20valuesaremissingfromthetrainingdata(elements981–1000,1981–2000,2981–3000,3981–4000,4981–5000).Thetaskistopredictthe100missingvalues.Solutionsareevaluatedbycalculatingthemeansquareerrorcompa

2、redtothetruevalues.中文关键词：数据挖掘,时间序列,缺失值预测,IJCNN-2004,英文关键词：Datamining,TimeSeries,MissingvaluesPrediction,IJCNN-2004,数据格式：TEXT数据用途：ThedatacanbeusedforPrediction.数据详细介绍：CATSbenchmarkDescription:Thedatasetconsistsofatimeseries5000timestepslong.5blocksof20valuesaremissingfromthetr

3、ainingdata(elements981–1000,1981–2000,2981–3000,3981–4000,4981–5000).Thetaskistopredictthe100missingvalues.Solutionsareevaluatedbycalculatingthemeansquareerrorcomparedtothetruevalues.Objections:Thisisanartificialdataset,notagenuinedata-miningproblem.Reference2004International

4、JointConferenceonNeuralNetworks数据预览：点此下载完整数据集