作为失衡数据分类的瞬态检测模型

2018 1st IEEE International Conference on Knowledge Innovation and Invention (ICKII) Pub Date : 2018-07-01 DOI:10.1109/ICKII.2018.8569123

Aireen B. Tabacolde, Tossapon Boongoen, Natthakan Iam-on, J. Mullaney, U. Sawangwit, K. Ulaczyk

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引用次数: 2

摘要

大量天文数据的获取促使天文学家加入全球大数据科学和人工智能的潮流。引力波光学瞬变观测仪是捕捉瞬变事件的可视化对应设备，它提供了数以百万计的观测源，然后参照模拟数据进行系统处理和分析，以识别真正的源。基本上，这项研究侧重于利用传统的数据挖掘应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Transient Detection Modeling as Imbalance Data Classification

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.

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2018 1st IEEE International Conference on Knowledge Innovation and Invention (ICKII)

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