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The digitalization of society has enabled a rapid growth of data sources around us. Improved sensor technology produces vast amount of data as multi-dimensional values, time series or streaming data; for example, wearable sensors only have make possible that monitoring of human related data has become a growing research area in data mining. While the amount of data is growing more sophisticated and reliable methods are needed to ensure the capture of the meaningful information. The methods include different fusion techniques, time series and signal analysis solutions as well as novel approaches for learning.

征稿信息

重要日期

2016-08-15
初稿截稿日期
2016-10-10
终稿截稿日期

征稿范围

  • adaptive models for human related data,

  • activity recognition,

  • probabilistic modeling and Internet of Things,

  • uncertainty of models and uncertain data,

  • online solutions,

  • Internet of Things applications

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重要日期
  • 会议日期

    12月06日

    2016

    12月09日

    2016

  • 08月15日 2016

    初稿截稿日期

  • 10月10日 2016

    终稿截稿日期

  • 12月09日 2016

    注册截止日期

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