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Extreme Variability in a Broad Absorption Line Quasar

, , , , , , , , , , , and . (2017)cite arxiv:1704.03923Comment: 6 pages, 4 figures; accepted for publication in ApJ.

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Automated Real-Time Classification and Decision Making in Massive Data Streams from Synoptic Sky Surveys., , , , , , and . eScience, page 204-211. IEEE Computer Society, (2014)Immersive and collaborative data visualization using virtual reality platforms., , , , , , , , , and 3 other author(s). IEEE BigData, page 609-614. IEEE Computer Society, (2014)Deep-learnt classification of light curves., , , , , , and . SSCI, page 1-8. IEEE, (2017)Real-time data mining of massive data streams from synoptic sky surveys., , , , , , and . Future Gener. Comput. Syst., (2016)A possible close supermassive black-hole binary in a quasar with optical periodicity, , , , , , , , and . (2015)cite arxiv:1501.01375Comment: 19 pages, 6 figures. Published online by Nature on 7 January 2015.Detection of quasars in the time domain., , , , and . Astroinformatics, volume 12 of Proceedings of the International Astronomical Union, page 231-241. Cambridge University Press, (2016)Extreme Variability in a Broad Absorption Line Quasar, , , , , , , , , and 2 other author(s). (2017)cite arxiv:1704.03923Comment: 6 pages, 4 figures; accepted for publication in ApJ.Two c's in a pod: Cosmology independent measurement of the Type Ia supernova colour-luminosity relation with a sibling pair, , , , , , , , , and 12 other author(s). (2021)cite arxiv:2103.16978Comment: 11 pages, 8 figures.Data challenges of time domain astronomy., , , , , and . Distributed Parallel Databases, 30 (5-6): 371-384 (2012)Feature selection strategies for classifying high dimensional astronomical data sets., , , , , , , , , and 1 other author(s). IEEE BigData, page 35-41. IEEE Computer Society, (2013)