Time Series Classification by Shapelet Dictionary Learning with SVM-Based Ensemble Classifier

Table 1

Details of experiment datasets.

No	Dataset	Classes	Length	Training Instances	Testing Instances
1	50 words	50	270	450	455
2	Adiac	37	176	390	391
3	Beef	5	470	30	30
4	CBF	3	128	30	900
5	Chlorine.	3	166	467	3840
6	CinC ECG	4	1639	40	1380
7	Coffee	2	286	28	28
8	Cricket X	12	300	390	390
9	Cricket Y	12	300	390	390
10	Cricket Z	12	300	390	390
11	Diatom	4	345	16	306
12	ECG200	2	96	100	100
13	ECGFive	2	136	23	861
14	FaceAll	14	131	560	1690
15	FaceFour	4	350	24	88
16	FacesUCR	14	131	200	2050
17	Fish	7	463	175	175
18	Gun point	2	150	50	150
19	Haptics	5	1092	155	308
20	InlineSkate	7	1882	100	550
21	ItalyPower	2	24	67	1029
22	Lighting2	2	637	60	61
23	Lighting7	7	319	70	73
24	MALLAT	8	1024	55	2345
25	MedicalImages	10	99	381	760
26	MoteStrain	2	84	20	1252
27	Non.FatalECG.1	42	750	1800	1965
28	Non.FatalECG.2	42	750	1800	1965
29	OliveOil	4	570	30	30
30	OSULeaf	6	427	200	242
31	Sony.I	2	65	27	953
32	Sony.II	2	70	20	601
33	StarLight	3	1024	1000	8236
34	SwedishLeaf	15	128	500	625
35	Symbols	6	398	25	995
36	Synthetic	6	60	300	300
37	Trace	4	275	100	100
38	Two patterns	4	128	1000	4000
39	TwoLeadECG	2	82	23	1139
40	uWave.X	8	315	896	3582
41	uWave.Y	8	315	896	3582
42	uWave.Z	8	315	896	3582
43	Wafer	2	152	1000	6174
44	WordsS	25	270	267	638
45	Yoga	2	426	300	3000