Using Candlestick Charting and Dynamic Time Warping for Data Behavior Modeling and Trend Prediction for MWSN in IoT Conference

Aleman, Concepcion Sanchez, Pissinou, Niki, Alemany, Sheila et al. (2018). Using Candlestick Charting and Dynamic Time Warping for Data Behavior Modeling and Trend Prediction for MWSN in IoT . 2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2884-2889.

cited authors

  • Aleman, Concepcion Sanchez; Pissinou, Niki; Alemany, Sheila; Kamhoua, Georges A

authors

date/time interval

  • December 10, 2018 -

publication date

  • January 1, 2018

published in

keywords

  • Behavior-based data trend prediction
  • Computer Science
  • Computer Science, Artificial Intelligence
  • Computer Science, Information Systems
  • Computer Science, Theory & Methods
  • IoT
  • Science & Technology
  • Technology
  • candlestick charting
  • dynamic time warping
  • evolving data streams
  • mobile wireless sensor networks
  • support vector machine

start page

  • 2884

end page

  • 2889