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수질자료의 이상치 탐색을 위한 Isolation Forest기법의 적용
Author
김종은, 박노석, 윤상진, 채선하, 윤석민
Journal Title
대한환경공학회지
Publication Year
2018
Topics
Summary
This study utilized water quality data from domestic water treatment plants, classifying groups based on statistical correlation and comparing the outlier detection performance of distance-based and Isolation Forest techniques. The Isolation Forest technique was found to detect outliers over a wider range than the distance-based technique, with minimal performance changes observed with variations in machine learning data.
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