Transient Detection Modeling as Imbalance Data Classification
Transient Detection Modeling as Imbalance Data Classification
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DOI:
10.1109/ickii.2018.8569123
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发表时间:
2018-07
期刊:
影响因子:
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通讯作者:
Aireen B. Tabacolde;Tossapon Boongoen;Natthakan Iam-on;J. Mullaney;U. Sawangwit;K. Ulaczyk
中科院分区:
文献类型:
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作者:
Aireen B. Tabacolde;Tossapon Boongoen;Natthakan Iam-on;J. Mullaney;U. Sawangwit;K. Ulaczyk
Acquisition of large astronomical data prompted astronomers to join the global trend of big data science and artificial intelligence. The Gravitational-wave Optical Transient Observers is a visual counterpart in capturing transient events provides millions of observed sources which are then systematically process and analyze in reference to simulated data in order to identify real sources. Basically, this study focuses in utilizing conventional data mining applications.