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SABID 2015 : Solar Astronomy Big Data - Workshop on Workshop on Management, Search and Mining of Massive Repositories of Solar Astronomy Data | |||||||||||||||
Link: http://www.cs.gsu.edu/rangryk/workshops/SABID15/ | |||||||||||||||
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Call For Papers | |||||||||||||||
OVERVIEW
Organizers of SABID 2015 workshop solicit high-quality original research papers related to solar astronomy big data mining, which through innovative data mining, management and processing techniques contribute to the open solar physics research questions. This includes but is not limited to the following: 1. Foundations for Solar Astronomy Big Data Management and Mining a) New Computational Models for Storage, Distribution, Processing and Mining of Solar Astronomy Data b) Evaluation of Information Quality for the Solar Astronomy Data from Telescopes, as well as Derived Data Products (Meta-Data) c) New Scientific Standards for Solar Information Processing and Mining, and their Quality Evaluation d) System Architectures, Design and Deployment of Solar Data Archives, Portals and Analytical Services e) Data Management and Stream Mining for Solar Astronomy Data in Cloud and Distributed Environments f) Integration of Heterogeneous Solar Information from Multiple Data Repositories for the purpose of Knowledge Discovery from these Databases 2. Solar Astronomy Data Retrieval, Visualization, Recognition and Data-Driven Analyses a) New Computational Models for Search, Retrieval, and Mining of Solar Astronomy Data b) Scalable Algorithms and Systems for Solar Activity Recognition (e.g. Computer Vision) from Solar Data Repositories c) Solar Astronomy Data Search Architectures, their Scalability, Efficiency, and Real-life Usefulness d) Visualization Tools for Large-scale Solar Astronomy Data Mining e) Cloud-, Distributed-, and Stream-Data Mining for High Velocity Solar Astronomy Data f) Semantic-based Solar Data Mining from Heterogeneous Solar Data g) Multimedia, Multi-structured, and Spatiotemporal Solar Astronomy Data Mining h) Novel Solar Data Mining Models, including new algorithms available through Hadoop, MapReduce, No-SQL and similar technologies 3. Computer Applications related to Solar Astronomy Big Data Mining a) Complex Solar Weather Applications in Science, Engineering, Education, Navigation, Power Grids, and Telecommunication for Government, Public and Private Industry Sectors b) New Real-life Case Studies of Big Solar Data Mining (e.g. Space Weather) c) Experiences with Big Data Mining Project Deployments in Solar Physics d) Solar Astronomy Data and Knowledge Distribution in the Social Web PAPER SUBMISSION Please submit a full-length paper (up to 10 page IEEE 2-column format) through our online submission system (for more info, please visit SABID 2015 website). Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines. Accepted papers (after being carefully reviewed by at least 3 PC members and accepted for our workshop) will be included in the 2015 IEEE International Conference Data Mining Workshop Proceedings. Selected papers (after their expansion and second round of independent review) 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. FURTHER INFORMATION The full call-for-papers, and more details on the SABID-2015 workshop, visit our web site: http://www.cs.gsu.edu/rangryk/workshops/SABID15/ |
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