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Naive Bayes Classifier based Anomalous Propagation Echo Identification using Class Imbalanced Data

클래스 불균형 데이터를 이용한 나이브 베이즈 분류기 기반의 이상전파에코 식별방법

  • Received : 2016.05.20
  • Accepted : 2016.06.08
  • Published : 2016.06.30

Abstract

Anomalous propagation echo is a kind of abnormal radar signal occurred by irregularly refracted radar beam caused by temperature or humidity. The echo frequently appears in ground-based weather radar due to its observation principle and disturb weather forecasting process. In order to improve accuracy of weather forecasting, it is important to analyze radar data precisely. Therefore, there are several ongoing researches about identifying the anomalous propagation echo with data mining techniques. This paper conducts researches about implementation of classification method which can separate the anomalous propagation echo in the raw radar data using naive Bayes classifier with various kinds of observation results. Considering that collected data has a class imbalanced problem, this paper includes SMOTE method. It is confirmed that the fine classification results are derived by the suggested classifier with balanced dataset using actual appearance cases of the echo.

Keywords

Radar Data Analysis;Anomalous Propagation Echo;Naive Bayes Classifier;Class Imbalanced Data;SMOTE

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Acknowledgement

Grant : BK21플러스

Supported by : 부산대학교