Efficient Query Filtering for Streaming Time Series

Li Wei Eamonn Keogh	Helga Van Herle	Agenor Mafra-Neto
Computer Science & Engineering Dept. University of California – Riverside Riverside, CA 92521 {wli, eamonn}@cs.ucr.edu	David Geffen School of Medicine University of California – Los Angeles Los Angeles, CA 90095 hvanherle@mednet.ucla.edu	ISCA Technologies Riverside, CA 92517 isca@iscatech.com

This web page contains full color examples and dataset of the figures presented in the paper along with many others that follow this work.

Data sets used for experimental evaluation in the paper:

ECG Dataset. 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. 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. 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)
"Speedup by Sorting" Experiment. The wedge in Figure 3 and the random_walk time series.