Finding Bent-double Radio Galaxies: A Case Study in Data Mining

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This paper presents our early results in applying data mining techniques to the problem of finding radio-emitting galaxies with a bent-double morphology. In the past, astronomers on the FIRST (Faint Images of the Radio Sky at Twenty-cm) survey have detected such galaxies by first inspecting the radio images visually to identify probable bent-doubles, and then conducting observations to confirm that the galaxy is indeed a bent-double. Our goal is to replace this visual inspection by a semi-automated approach. In this paper, we present a brief overview of data mining, describe the features we use to discriminate bent-doubles from non-bent-doubles, and ... continued below

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Fodor, I.K; Cantu-Paz, E.; Kamath, C. & Tang, N. April 11, 2000.

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This paper presents our early results in applying data mining techniques to the problem of finding radio-emitting galaxies with a bent-double morphology. In the past, astronomers on the FIRST (Faint Images of the Radio Sky at Twenty-cm) survey have detected such galaxies by first inspecting the radio images visually to identify probable bent-doubles, and then conducting observations to confirm that the galaxy is indeed a bent-double. Our goal is to replace this visual inspection by a semi-automated approach. In this paper, we present a brief overview of data mining, describe the features we use to discriminate bent-doubles from non-bent-doubles, and discuss the challenges faced in defining meaningful features in a robust manner. Our experiments show that data mining, using decision trees, can indeed be a viable alternative to the visual identification of bent-double galaxies.

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1,000 Kilobytes pages

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  • 32nd Symposium on the Interface: Computing Science and Statistics, New Orleans, LA (US), 04/05/2000--04/08/2000

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  • Report No.: UCRL-JC-138073
  • Grant Number: W-7405-Eng-48
  • Office of Scientific & Technical Information Report Number: 791589
  • Archival Resource Key: ark:/67531/metadc742871

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  • April 11, 2000

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  • Oct. 19, 2015, 7:39 p.m.

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  • May 6, 2016, 1:23 p.m.

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Fodor, I.K; Cantu-Paz, E.; Kamath, C. & Tang, N. Finding Bent-double Radio Galaxies: A Case Study in Data Mining, article, April 11, 2000; California. (digital.library.unt.edu/ark:/67531/metadc742871/: accessed April 19, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.