Real-time data mining of massive data streams from synoptic sky surveys

@article{Djorgovski2016RealtimeDM,
  title={Real-time data mining of massive data streams from synoptic sky surveys},
  author={S. George Djorgovski and Matthew J. Graham and Ciro Donalek and Ashish Mahabal and Andrew J. Drake and Michael J. Turmon and Thomas J. Fuchs},
  journal={ArXiv},
  year={2016},
  volume={abs/1601.04385}
}
  • S. George Djorgovski, Matthew J. Graham, +4 authors Thomas J. Fuchs
  • Published 2016
  • Computer Science, Physics
  • ArXiv
  • The nature of scientific and technological data collection is evolving rapidly: data volumes and rates grow exponentially, with increasing complexity and information content, and there has been a transition from static data sets to data streams that must be analyzed in real time.?Interesting or anomalous phenomena must be quickly characterized and followed up with additional measurements via optimal deployment of limited assets.?Modern astronomy presents a variety of such phenomena in the form… CONTINUE READING

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