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Context Inference and Sensor Data Classification of Big Data Stream Environment

빅데이터 스트림 환경에서의 센서 데이터 분류와 상황추론

  • 유창근 (남서울 대학교 전자공학과)
  • Received : 2014.08.11
  • Accepted : 2014.10.17
  • Published : 2014.10.31

Abstract

The analysis of the variable continuous big data stram should reach the destination context awareness. This study presented a novel way of context inference of the variable data stream from sensor motes. For assessment of the sensor data, we calculated the difference of each measured value at the time window and determined the belief value of each focal element. It was beneficial that calculate and assessment of factor of situation for context inference with the Dempster-Shfer evidence theory.

Acknowledgement

Supported by : 남서울대학교

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