Real-time data mining of massive data streams from synoptic sky surveys
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- 作者：S.G. Djorgovski<sup>asup><sup> ; sup><sup>george@cd3.caltech.edu" class="auth_mail" title="E-mail the corresponding authorsup>Author Vitae ; M.J. Graham<sup>asup><sup> ; sup><sup>mjg@cd3.caltech.edu" class="auth_mail" title="E-mail the corresponding authorsup>Author Vitae ; C. Donalek<sup>asup><sup> ; sup><sup>donalek@cd3.caltech.edu" class="auth_mail" title="E-mail the corresponding authorsup>Author Vitae ; A.A. Mahabal<sup>asup><sup> ; sup><sup>aam@cd3.caltech.edu" class="auth_mail" title="E-mail the corresponding authorsup>Author Vitae ; A.J. Drake<sup>asup><sup> ; sup><sup>ajd@cd3.caltech.edu" class="auth_mail" title="E-mail the corresponding authorsup>Author Vitae ; M. Turmon<sup>bsup><sup> ; sup><sup>turmon@jpl.nasa.gov" class="auth_mail" title="E-mail the corresponding authorsup>Author Vitae ; T. Fuchs<sup>bsup><sup> ; sup><sup>thomas.fuchs@jpl.nasa.gov" class="auth_mail" title="E-mail the corresponding authorsup>Author Vitae
- 关键词：Sky surveys ; Massive data streams ; Machine learning ; Bayesian methods ; Automated decision making
- 刊名：Future Generation Computer Systems
- 出版年：2016
- 出版时间：June 2016
- 年：2016
- 卷：59
- 期：Complete
- 页码：95-104
- 全文大小：2764 K
文摘
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Advances in the automated classification of transient events in synoptic sky surveys.
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Innovative methods for the analysis of irregularly sampled, heterogeneous time series.
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Novel approach to the machine-assisted discovery using a symbolic regression.
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Approaches to an automated decision making based on the automated classification.
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