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Introduction

ICSDM aims to provide a unique inter- and multi-disciplinary forum for all the professionals involved in spatiotemporal big data analysis, trajectory mining, stream data mining, night-time light remote sensing data mining and geographical knowledge services academia and industry to share research ideas, present latest research achievements, foster cooperation, and encourage international collaboration.

ICSDM2017 has two days of technical program, including plenary sessions with several keynotes and invited speeches, parallel sessions with oral and poster presentations. Contributions will be invited from researchers and participant from ISPRS society, including topics on spatiotemporal big data analysis, trajectory mining, stream data mining, night-time light remote sensing data mining, spatiotemporal data services and knowledge services, spatiotemporal process modelling, spatial decision support, and the related theories, methods and applications. ICSDM2017 will serve as an open forum or platform for researchers and practitioners to share their innovative ideas and achievements in the multi-faceted research of spatiotemporal data analysis, spatiotemporal data mining, geographical knowledge service and decision support in Big Data era.

Call for paper

Important date

2017-04-15
Draft paper submission deadline

Submission Topics

  • Spatiotemporal Data Mining and Knowledge Discovery

  • Spatiotemporal Big Data Analysis

  • Spatiotemporal Process Modelling and Decision

  • Spatiotemporal Data Services and Knowledge Services

  • Spatiotemporal Knowledge Visualization

  • Trajectory Mining and Urban Computing

  • Stream, Time-series, and Sequence Data Mining

  • Night-time Light Remote Sensing Data Mining

  • Spatially Integrated Humanities and Social Science

  • Applications of Spatiotemporal Data and Knowledge

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Important Date
  • Conference Date

    Sep 21

    2017

    to

    Sep 22

    2017

  • Apr 15 2017

    Draft paper submission deadline

  • Sep 22 2017

    Registration deadline