time series classificationUCR time series archiveThe UCR time series archive - introduced in 2002, has become an important resource in the time series data mining community, with at least one thousand published papers making use of at least one data set from the archive. The original incarnation...
17 Oct 2018·Hoang Anh Dau,Anthony Bagnall,Kaveh Kamgar,Chin-Chia Michael Yeh,Yan Zhu,Shaghayegh Gharghabi,Chotirat Ann Ratanamahatana,Eamonn Keogh· The UCR Time Series Archive - introduced in 2002, has become an important resource in the time series data mining community, with at least one...
The UCR time series archive–introduced in 2002,has become an important resource in the time series data mining community,with at least one thousand published papers making use of at least one data set from the archive.The original incarnation of the archive had sixteen data sets but since that...
Index Terms—Data mining, time series classification, UCR time series archive.I. Introduction T HE discipline of time series data mining dates back to at least the early 1990s [1]. As noted in a survey [2], during the first decade of research, the vast majority of papers tested only ...
The UCR time series archive has played a significant role in challenging and guiding the development of new learners for time series classification. The ... B Lucas,A Shifaz,Pelletier, CharlotteO'Neill, LachlanZaidi, NayyarGoethals, BartPetitjean, FrancoisWebb, Geoffrey I. - 《Data Mining & Kn...
1.2Experiment settings for anomalous time series detection [Datasets] Out of the initial 109 time series datasets (used in [11]) in UCR time series classification archive [10], we remove the datasets having the length of time series less than 200 and choose the top 20 datasets with the larg...
In Proceedings of the 2004 SIAM International Conference on Data Mining, Lake Buena Vista, FL, USA, 22–24 April 2004. [Google Scholar] Dau, H.A.; Bagnall, A.; Kamgar, K.; Yeh, C.C.M.; Zhu, Y.; Gharghabi, S.; Ratanamahatana, C.A.; Keogh, E. The UCR time series archive...
In reality, it is more common to encounter multivariate TSC (MTSC) problems where the time series for a single case has multiple dimensions. Despite this, much less consideration has been given to MTSC than the univariate case. The UCR archive has provided a valuable resource for univariate ...
NB! the dataset directory should be located inTimeVQVAE/datasets. For instance,TimeVQVAE/datasets/UCRArchive_2018orTimeVQVAE/datasets/UCRArchive_2018_resplit. Usage Configuration configs/config.yaml: configuration for dataset, data loading, optimizer, and models (i.e.,encoder, decoder, vector-quant...
UCR folder: dataset/UCR_Time_Series_Archive/UCR datasets name Also, make sure that in the dataset folders, you have a csv file for the properties of the dataset. The file should have the following format: "nb of class,size of training set,size of testing set,time series length,warping ...