群智大数据：感知、优选与理解

doi:10.11959/j.issn.2096-0271.2017052

Abstract

Abstract:

Mobile crowdsensing (MCS) has become an emerging paradigm for large-scale sensing.It empowers ordinary citizens to contribute data sensed or generated from their mobile devices (e.g.,smartphones,wearable devices),aggregates and fuses the data in the cloud for crowd intelligence extraction and human-centric service delivery.The data contributed by the crowd in MCS systems presents the features such as multi-modal,rich-content,spatio-temporal,and human-centric.The key challenges and techniques about crowdsensing big data were discussed.The recent progress of our group in this promising research area was described.

Key words: mobile crowdsensing, crowdsensing big data, data selection, human-machine intelligence, crowd intelligence

CLC Number:

TP393

Bin GUO, Shuying ZHAI, Zhiwen YU, Xingshe ZHOU. Crowdsensing big data:sensing,data selection,and understanding[J]. Big Data Research, 2017, 3(5): 57-69.

Figures/Tables 7

References 39

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