Event Detection in Time Series by Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  title =        "Event Detection in Time Series by Genetic
  author =       "Feng Xie and Andy Song and Vic Ciesielski",
  pages =        "2507--2514",
  booktitle =    "Proceedings of the 2012 IEEE Congress on Evolutionary
  year =         "2012",
  editor =       "Xiaodong Li",
  month =        "10-15 " # jun,
  DOI =          "doi:10.1109/CEC.2012.6256589",
  address =      "Brisbane, Australia",
  ISBN =         "0-7803-8515-2",
  keywords =     "genetic algorithms, genetic programming,
                 Classification, clustering, data analysis and data
  abstract =     "The aim of event detection in time series is to
                 identify particular occurrences of user-interest in one
                 or more time lines, such as finding an anomaly in
                 electrocardiograms or reporting a sudden variation of
                 voltage in a power supply. Current methods are not
                 adequate for detecting certain kinds of events without
                 any domain knowledge. Therefore, we propose a Genetic
                 Programming (GP) based event detection methodology in
                 which solutions can be built from raw time series data.
                 The framework is applied to five synthetic data sets
                 and one real world application. The experimental
                 results show that working on raw data even with a
                 dimensionality as high as 140 by 80, genetic
                 programming can achieve superior performance to
                 conventional methods operating on pre-defined features.
                 Furthermore, analysis of the evolved event detectors
                 shows that they can be readily understood by humans and
                 have captured the regularities inserted into the
                 synthetic data sets.",
  notes =        "WCCI 2012. CEC 2012 - A joint meeting of the IEEE, the
                 EPS and the IET.",

Genetic Programming entries for Feng Xie Andy Song Victor Ciesielski