Title
SciDetector: Scientific Event Discovery by Tracking Variable Source Data Streaming
Abstract
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
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 Duan100.34
Chen Yang241.80
Xiaofeng Meng31435128.47
Yongjie Du400.68
Jiaming Qiu510.69
Xiaobin Ma68610.80
PengLiuZhihui Du738348.74
Xukang Zhang800.34
Baoning Niu9537.37
Chao Wu1000.34