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

Table 3

Runtime for 45 datasets.

No	Dataset	Runtime (sec)
		SD	LTS	FCN	SDL-SEC
1	50 words	0.494	n/a	9307	384
2	Adiac	0.337	68163	5361	24
3	Beef	0.047	1187	1300	11
4	CBF	0.131	28	3114	15
5	Chlorine	0.650	1009	13934	147
6	CinC ECG	2.111	14816	31540	87
7	Coffee	0.044	46	1026	1
8	Cricket X	0.763	53780	8889	36
9	Cricket Y	0.652	53663	8685	168
10	Cricket Z	0.800	53699	8559	179
11	Diatom	0.109	236	3446	3
12	ECG200	0.055	41	1099	2
13	ECGFive	0.133	9	3752	2
14	FaceAll	1.557	23985	8173	113
15	FaceFour	0.150	372	1569	2
16	FacesUCR	0.677	8184	5542	52
17	Fish	0.228	16309	5537	42
18	Gun point	0.074	25	1250	1
19	Haptics	2.314	37594	13097	229
20	InlineSkate	1.451	141802	22836	4533
21	ItalyPower	0.067	2	1598	2
22	Lighting2	1.939	873	2793	109
23	Lighting7	0.463	2920	2176	50
24	MALLAT	1.743	28683	38842	5313
25	MedicalImages	0.690	4060	4049	17
26	MoteStrain	0.153	6	4233	1
27	Non.FatalECG.1	8.721	n/a	90922	2102
28	Non.FatalECG.2	6.446	n/a	90826	1276
29	OliveOil	0.068	1043	1513	4
30	OSULeaf	0.244	12900	6537	35
31	Sony.I	0.099	3	2262	0.3
32	Sony.II	0.105	3	3319	5
33	StarLight	12.561	91024	160381	1641
34	SwedishLeaf	0.456	19651	6183	71
35	Symbols	0.356	1099	8766	10
36	Synthetic	0.099	550	1992	5
37	Trace	0.157	957	2375	3
38	Two patterns	2.555	2829	16142	33
39	TwoLeadECG	0.130	4	3870	2
40	uWave.X	6.322	58636	37696	126
41	uWave.Y	5.114	58948	33952	1280
42	uWave.Z	3.154	58633	32280	955
43	Wafer	2.236	948	23529	434
44	WordsS	0.480	123991	7153	112
45	Yoga	1.333	1985	23449	134