Abstract | ||
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We present the design of and a demonstration for SciDetector, a system of scientific research for online analysis. SciDetector can efficiently online analyze scientific events on large-scale newly arriving data. In modern scientific research, especially astronomy survey, with the development of the observation infrastructure, Short-Timescale and Large Field-of-view (STLF) sky survey has been the major topic. However, existing scientific system focus on offline analysis of long-term historical data, not real-time analysis of large-scale scientific data. Using real data, we demonstrate how SciDetector processes the data and generate the scientific product. |
Year | DOI | Venue |
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2019 | 10.1109/ICDE.2019.00234 | 2019 IEEE 35th International Conference on Data Engineering (ICDE) |
Keywords | Field | DocType |
Transient analysis,Schedules,Real-time systems,Cameras,Astronomy,Telescopes,Data processing | Data science,Data mining,Data processing,Online analysis,Computer science,Source data,Schedule,Offline analysis,Transient analysis,Scientific method | Conference |
ISSN | ISBN | Citations |
1084-4627 | 978-1-5386-7474-1 | 0 |
PageRank | References | Authors |
0.34 | 0 | 10 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zhiqiang Duan | 1 | 0 | 0.34 |
Chen Yang | 2 | 4 | 1.80 |
Xiaofeng Meng | 3 | 1435 | 128.47 |
Yongjie Du | 4 | 0 | 0.68 |
Jiaming Qiu | 5 | 1 | 0.69 |
Xiaobin Ma | 6 | 86 | 10.80 |
PengLiuZhihui Du | 7 | 383 | 48.74 |
Xukang Zhang | 8 | 0 | 0.34 |
Baoning Niu | 9 | 53 | 7.37 |
Chao Wu | 10 | 0 | 0.34 |