Efficient Query Filtering for Streaming Time Series

Li Wei    Eamonn Keogh

Helga Van Herle

Agenor Mafra-Neto

Computer Science & Engineering Dept.
University of California C Riverside
Riverside, CA 92521
{wli, eamonn}@cs.ucr.edu

David Geffen School of Medicine
University of California C Los Angeles
Los Angeles, CA 90095

ISCA Technologies
Riverside, CA 92517

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

  1. Powerpoint Version Download

  2. HTML Version View

Data sets used for experimental evaluation in the paper:

  1. ECG Dataset. EEG Recordings200 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)

  2. 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)

  3. 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)

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

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