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How can we harvest the temporal information from our environment, including the web, and create solutions to different situation recognition problems, i.e. small and big emergency or disaster situations of any kind? Relying on the omnipresent information and data available - are we able to create intelligent and assistive approaches that could support us in our everyday life?Based on the huge amount of available web data and data from web-connected devices, we should be able to derive relevant information to our advantage and most probably foreseen any epidemic or disaster situation. There are different methods and algorithms that enable the processing and mining of temporal information from the available temporal data. 

征稿信息

重要日期

2016-11-15
摘要截稿日期
2016-11-30
初稿截稿日期

征稿范围

  • trend mining

  • trend detection

  • topic mining and mining of users posts

  • intelligent situation recognition

  • data stream processing

  • data mining on streaming data

  • temporal data mining

  • geo-data mining

  • spatio-temporal information retrieval

  • data-based situation recognition

  • wireless data mining

  • signal detection and analysis

  • complex event processing

  • semantic complex event processing

  • ontology-based methods for situation recognition

  • rule-based methods for analysis of data streams

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重要日期
  • 会议日期

    03月13日

    2017

    03月16日

    2017

  • 11月15日 2016

    摘要截稿日期

  • 11月30日 2016

    初稿截稿日期

  • 03月16日 2017

    注册截止日期

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