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An Adaptive Sampling Technique for Massive Data Collection in Distributed Sensor Networks.

Ahmad KarakiAbbass NasserChady Abou JaoudeHassan Harb
Published in: IWCMC (2019)
Keyphrases
  • massive data
  • distributed sensor networks
  • data mining applications
  • massive datasets
  • database
  • big data
  • machine learning
  • case study
  • reinforcement learning
  • constraint satisfaction
  • distributed breakout