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Prioritizing Maintenance of Naval Command and Control System Using Feature Selection

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2019, 24(11), pp.219-228
  • DOI : 10.9708/jksci.2019.24.11.219
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : October 10, 2019
  • Accepted : November 5, 2019
  • Published : November 29, 2019

Junhyeong Choi 1 Dongsu Kang 1

1국방대학교

Accredited

ABSTRACT

Naval command and control system are very important for operation and their failures can be fatal for warfare. To prepare for these failures, we use feature selection method which is one of the data mining techniques. First, we analyzes failure data set of Navy from 2016 to 2018. And then We derive attributes that are associated with failure and to predict failure using feature selection method. We propose a method for prioritizing maintenance using the degree of association of attributes. This improves the efficiency and economics of command and control system maintenanc

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