This web page contains full color examples and dataset of the figures presented in the paper along with many others that follow this work.
Click here to download a PowerPoint presentation
Click here to download a shorter version of the paper which is published in the Fifth IEEE International Conference on Data Mining.
Data sets used for experimental evaluation in the paper:
ECG Dataset (Figure 14 in the paper). EEG Recordings, 200 ECG Patterns (1-50 are atrial premature beat, 51-100 are ventricular escape beat, 101-150 are left bundle branch block beat, and 151-200 are right bundle branch block beat)
Stock Dataset (Figure 15 in the paper). Stock Data, 337 Stock Patterns (1-140 are head and shoulders, 141-267 are reverse head and shoulders, and 268-337 are cup and handle)
Audio Dataset (Figure 16 in the paper). Audio Data (in Matlab format), 68 Mosquito Samples (1-19 are Culex quinquefasciatus female, 20-36 are Aedes aegypti female, 37-49 are Culiseta spp female, 50-60 are Culex quinquefasciatus male, 61-67 are Aedes aegypti male, and 68 is Culiseta spp male)
Gun Dataset (Table 5 in the paper). Gun Data (in Matlab format), 80 Gun Patterns (1-20 are Female-Gun, 21-40 are Female-Point, 41-60 are Male-Gun, and 61-80 are Male-Point)
Short ECG Dataset (Table 6 in the paper). EEG Recordings (in Matlab format), 200 ECG Patterns (1-50 are atrial premature beat, 51-100 are ventricular escape beat, 101-150 are left bundle branch block beat, and 151-200 are right bundle branch block beat)
Speedup by Sorting Dataset (Figure 17 in the paper). The wedge in Figure 6 and the random_walk time series.
ECG Dataset (Figure 18 in the paper). Training Set, Positive Indices of Training Set, Test Set, and Positive Indices of Test Set.
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