De-noising classification method for financial time series based on ICEEMDAN and wavelet threshold, and its application

Liu, Bing; Cheng, Huanhuan

doi:10.1186/s13634-024-01115-5

EURASIP Journal on Advances in Signal Processing

Table 2 Dataset information

From: De-noising classification method for financial time series based on ICEEMDAN and wavelet threshold, and its application

No	Dataset	Number of classes	Training set	Test set	Time series length
1	InsectWingbeatSound	11	220	1980	256
2	FiftyWords	50	450	455	270
3	WordSynonyms	25	267	638	270
4	Trace	4	100	100	275
5	ToeSegmentation1	2	40	228	277
6	Coffee	2	28	28	286
7	CricketX	12	390	390	300
8	CricketY	12	390	390	300
9	CricketZ	12	390	390	300
10	FreezerRegularTrain	2	150	2850	301
11	FreezerSmallTrain	2	28	2850	301
12	UWaveGestureLibraryX	8	896	3582	315
13	UWaveGestureLibraryY	8	896	3582	315
14	Lightning7	7	70	73	319
15	ToeSegmentation2	2	36	130	343
16	DiatomSizeReduction	4	16	306	345
17	FaceFour	4	24	88	350
18	Symbols	6	25	995	398
19	Yoga	2	300	3000	426
20	OSULeaf	6	200	242	427
21	Ham	2	109	105	431
22	Meat	3	60	60	448
23	Fish	7	175	175	463
24	Beef	5	30	30	470
25	FordA	2	3601	1320	500
26	FordB	2	3636	810	500
27	ShapeletSim	2	20	180	500
28	BeetleFly	2	20	20	512
29	BirdChicken	2	20	20	512
30	Earthquakes	2	322	139	512
31	Herring	2	64	64	512
32	ShapesAll	60	600	600	512
33	OliveOil	4	30	30	570
34	Car	4	60	60	577
35	InsectEPGRegularTrain	3	62	249	601
36	InsectEPGSmallTrain	3	17	249	601
37	Lightning2	2	60	61	637
38	Computers	2	250	250	720
39	LargeKitchenAppliances	3	375	375	720
40	RefrigerationDevices	3	375	375	720
41	ScreenType	3	375	375	720
42	SmallKitchenAppliances	3	375	375	720
43	NonInvasiveFetalECGThorax1	42	1800	1965	750
44	NonInvasiveFetalECGThorax2	42	1800	1965	750
45	Worms	5	181	77	900
46	WormsTwoClass	2	181	77	900
47	UWaveGestureLibraryAll	8	896	3582	945
48	Mallat	8	55	2345	1024
49	MixedShapesRegularTrain	5	500	2425	1024
50	MixedShapesSmallTrain	5	100	2425	1024
51	Phoneme	39	214	1896	1024
52	StarLightCurves	3	1000	8236	1024
53	Haptics	5	155	308	1092
54	EOGHorizontalSignal	12	362	362	1250
55	EOGVerticalSignal	12	362	362	1250
56	ACSF1	10	100	100	1460
57	SemgHandGenderCh2	2	300	600	1500
58	SemgHandMovementCh2	6	450	450	1500
59	SemgHandSubjectCh2	5	450	450	1500
60	CinCECGTorso	4	40	1380	1639
61	EthanolLevel	2	322	139	512
62	InlineSkate	7	100	550	1882
63	HouseTwenty	2	40	119	2000
64	PigAirwayPressure	52	104	208	2000
65	PigArtPressure	52	104	208	2000
66	PigCVP	52	104	208	2000
67	HandOutlines	2	1000	370	2709
68	Rock	4	20	50	2844

Back to article page