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活动简介

With the launch of NASA’s Solar Dynamics Observatory (SDO) mission on 02/11/2010, researchers in solar physics have entered the era of Big Data. The Atmospheric Imaging Assembly (AIA) instrument on SDO provides imaging data and the Helioseismic and Magnetic Imager (HMI) instrument on SDO provides magnetic field data. Both instruments record data at a high spatial resolution and a time cadence, amounting to about 1 Petabyte of scientific data each year. The Big Data challenges in Solar Astronomy are expected to grow even further with the inauguration of the NSF funded Daniel K. Inouye Solar Telescope (DKIST), currently under construction in Hawaii. This telescope is expected to generate: 3-5 Petabytes of data per year.

Workshop Objectives

  • Providing exposure to the current interdisciplinary research of computer scientists, electrical and computer engineers, statisticians, and solar physicists conducted on solar astronomy data.
  • Engagement of solar pysicists, big data researchers and data miners to develop new collaborations by presenting massive solar datasets, and current challenges with data-driven knowledge discovery from solar astronomy big data.
  • Gathering of feedback on the current approaches to the management of solar data, retrieval, and analysis from a broader data mining community, in the expectation of establishing new collaborations, research avenues, and future working relationships.
  • Bringing people together from other disciplines and domains to share experiences, with hopes of determining if any transfer of big data and data mining expertises could benefit solar astronomy research projects and vice-versa.
征稿信息

重要日期

2015-07-20
初稿截稿日期

征稿范围

Topics of Interest

Organizers of SABID 2015 workshop solicit high-quality original research papers related to solar astronomy big data mining, which through innovative data mining techniques contribute to the open solar physics research questions. The topics include but are not limited to the following:

  1. Foundations for Solar Astronomy Big Data Management and Mining
    1. New Computational Models for Storage, Distribution, Processing and Mining of Solar Astronomy Data
    2.  Evaluation of Information Quality for the Solar Astronomy Data from Telescopes, as well as Derived Data Products (Meta-Data)
    3. New Scientific Standards for Solar Information Processing and Mining, and their Quality Evaluation
    4. System Architectures, Design and Deployment of Solar Data Archives, Portals and Analytical Services
    5. Data Management and Stream Mining for Solar Astronomy Data in Cloud and Distributed Environments
    6. Integration of Heterogeneous Solar Information from Multiple Data Repositories for the purpose of Knowledge Discovery from these Databases
  1. Solar Astronomy Data Retrieval, Visualization, Recognition and Data-Driven Analyses
    1. New Computational Models for Search, Retrieval, and Mining of Solar Astronomy Data
    2. Scalable Algorithms and Systems for Solar Activity Recognition (e.g. Computer Vision) from Solar Data Repositories
    3. Solar Astronomy Data Search Architectures, their Scalability, Efficiency, and Real-life Usefulness
    4. Visualization Tools for Large-scale Solar Astronomy Data Mining
    5. Cloud-, Distributed-, and Stream-Data Mining for High Velocity Solar Astronomy Data
    6. Semantic-based Solar Data Mining from Heterogeneous Solar Data
    7. Multimedia, Multi-structured, and Spatiotemporal Solar Astronomy Data Mining
    8. Novel Solar Data Mining Models, including new algorithms available through Hadoop, MapReduce, No-SQL and similar technologies
  2. Computer Applications related to Solar Astronomy Big Data Mining
    1. Complex Solar Weather Applications in Science, Engineering, Education, Navigation, Power Grids, and Telecommunication for Government, Public and Private Industry Sectors
    2. New Real-life Case Studies of Big Solar Data Mining (e.g. Space Weather)
    3. Experiences with Big Data Mining Project Deployments in Solar Physics
    4. Solar Astronomy Data and Knowledge Distribution in the Social Web

作者指南

Paper Submission

  • Please submit a full-length paper (up to 10 page IEEE 2-column format) through the online submission system (see instructions on ICDM Website).
  • Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines.
  • All papers after being carefully reviewed by at least 3 PC members and accepted for our workshop will be included in the IEEE International Conference Data Mining Workshops 2015 Proceedings published by the IEEE Computer Society Press (also included in the IEEE Digital Library), and made available at the conference.
  • Selected papers (after their significant expansion and second set of independent revisions) will be invited into a special journal issue. We contacted the editorial board of Elsevier’s journal on “Astronomy and Computing” and received encouraging response about the possibility of offering a special issue of this journal based on the works presented during the SABID 2015 workshop.
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重要日期

  • 11月14日

    2015

    会议日期

  • 07月20日 2015

    初稿截稿日期

  • 11月14日 2015

    注册截止日期

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