Transient Detection Modeling as Imbalance Data Classification

Aireen B. Tabacolde, Tossapon Boongoen, Natthakan Iam-On, James Mullaney, Utane Sawangwit, Krzysztof Ulaczyk

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

4 Citations (SciVal)

Abstract

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.

Original languageEnglish
Title of host publication1st IEEE International Conference on Knowledge Innovation and Invention, ICKII 2018
EditorsTeen-Hang Meen
PublisherIEEE Press
Pages180-183
Number of pages4
ISBN (Electronic)9781538652671
DOIs
Publication statusPublished - 07 Dec 2018
Event1st IEEE International Conference on Knowledge Innovation and Invention, ICKII 2018 - Jeju Island, Korea (Republic of)
Duration: 23 Jul 201827 Jul 2018

Publication series

Name1st IEEE International Conference on Knowledge Innovation and Invention, ICKII 2018

Conference

Conference1st IEEE International Conference on Knowledge Innovation and Invention, ICKII 2018
Country/TerritoryKorea (Republic of)
CityJeju Island
Period23 Jul 201827 Jul 2018

Keywords

  • classification
  • imbalance class
  • sky survey
  • transient detection

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