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 . 2884-2889.

cited authors

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

sustainable development goals

authors

date/time interval

  • December 10, 2018 -

publication date

  • January 1, 2018

webpage

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

Location

  • Seattle, WA

Conference

  • IEEE International Conference on Big Data (Big Data)

publisher

  • IEEE

start page

  • 2884

end page

  • 2889