Transcription of UCR Time Series Classification Archive
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UCR time Series Classification ArchivePlease reference as:Dau,HoangAnh,EamonnKeogh,KavehKamgar, Chin-ChiaMichaelYeh,YanZhu,ShaghayeghGha rghabi,ChotiratAnnRatanamahatana,Yanping Chen,BingHu,NurjahanBegum,AnthonyBagnall ,AbdullahMueenandGustavoBatista(2018). TheUCRTimeSeriesClassificationArchive. ~eamonn/time_series_data_2018/Funded by NSF IIS-1161997, NSF IIS 1510741, NSF IIS 0803410, NSF IIS 0808770 and NSF IIS always acknowledge gifts from a smarter Planet Award from IBM and gifts from Google, Microsoft, MERL Labs, Samsung, NetAPPand Siemens. However, any errors or controversial claims, are due to us !DearColleague,Ifyouarereadingthis, ,andcompletelyreplaces[8].Thecurrentvers ion,thereafter,referredtoasFall2018expan sion,willeventuallyreplaceSummer2015rele ase[9].Thearchiveoriginallywasbornoutofo urfrustrationwithpapersreportingerrorrat esonasingledatasetandclaiming(orimplicit lysuggesting)thattheresultswouldgenerali ze[6].However,whilewethinktheavailabilit yofpreviousversionsoftheUCRA rchivehasmitigatedthisproblemtoagreatext ent, wewinsome,welosesome ,therearemanytrivialwaystoget winsome,losesome typeresultsonthesedatasets(forexample,ju stsmoothingthedata,orgeneralizingfrom1-N Ntok-NNetc.)
UCR Time Series Classification Archive Please reference as: Dau, Hoang Anh, Eamonn Keogh, Kaveh Kamgar, Chin-Chia Michael Yeh, Yan Zhu, Shaghayegh ... We always acknowledge gifts from a Smarter Planet Award from IBM and gifts from Google, Microsoft, MERL Labs, Samsung, NetAPP and Siemens. ... 0 0.5 1 1.5 2 2.5 Expected Accuracy Gain 0.8 1 1.2 1 ...
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