Segmentation and classification of time-series: real case studies

  • Authors:
  • J. M. Molina;J. Garcia;A. C. Bicharra Garcia;R. Melo;L. Correia

  • Affiliations:
  • Universidad Carlos III de Madrid, Colmenarejo, Spain;Universidad Carlos III de Madrid, Colmenarejo, Spain;Universidade Federal Fluminense, Rio de Janeiro, Brazil;Universidade Federal Fluminense, Rio de Janeiro, Brazil;Universidade de Lisboa, Lisboa, Portugal

  • Venue:
  • IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
  • Year:
  • 2009

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Abstract

This paper presents a process classification model based on time series data segmentation, segment classification to identify micro behaviors and behaviors' integration to identify the way the process is transforming. This approach has been successfully employed in different engineering domains and tasks such as predicting failures in oil process plant, reconstructing trajectories in air traffic control and identifying interaction scenarios in mobile robotic environment."