Hello ,
I have a dataset , like this where Q0 is the feature value and TS is the time stamp , and I would like to apply shapelet discovery and shapelet transform on this csv file. I have this huge one time series which I have sliced down to the number of parts(data snippets) , And every snippet is similar to this(below one) , now what I would like to do is to shapelet discovery first and then shapelet transform in order to detect anomalies in the time series data.
Q0 TS
0.012364804744720459, 2018-03-02 00:44:51.303082
0.012344598770141602, 2018-03-02 00:44:51.375207
0.012604951858520508, 2018-03-02 00:44:51.475198
0.012307226657867432, 2018-03-02 00:44:51.575189
0.012397348880767822, 2018-03-02 00:44:51.675180
0.013141036033630371, 2018-03-02 00:44:51.775171
0.012811839580535889, 2018-03-02 00:44:51.875162
0.012950420379638672, 2018-03-02 00:44:51.975153
0.013257980346679688, 2018-03-02 00:44:52.075144
Hello , I have a dataset , like this where Q0 is the feature value and TS is the time stamp , and I would like to apply shapelet discovery and shapelet transform on this csv file. I have this huge one time series which I have sliced down to the number of parts(data snippets) , And every snippet is similar to this(below one) , now what I would like to do is to shapelet discovery first and then shapelet transform in order to detect anomalies in the time series data. Q0 TS 0.012364804744720459, 2018-03-02 00:44:51.303082 0.012344598770141602, 2018-03-02 00:44:51.375207 0.012604951858520508, 2018-03-02 00:44:51.475198 0.012307226657867432, 2018-03-02 00:44:51.575189 0.012397348880767822, 2018-03-02 00:44:51.675180 0.013141036033630371, 2018-03-02 00:44:51.775171 0.012811839580535889, 2018-03-02 00:44:51.875162 0.012950420379638672, 2018-03-02 00:44:51.975153 0.013257980346679688, 2018-03-02 00:44:52.075144