RRCF 알고리즘을 이용한 이상신호 분석과 지구물리 데이터에의 응용
- Title
- RRCF 알고리즘을 이용한 이상신호 분석과 지구물리 데이터에의 응용
- Authors
- 염시진
- Date Issued
- 2021
- Publisher
- 포항공과대학교
- Abstract
- In this thesis, we explain the Isolation Forest (IF) algorithm which is a basic model
of the Robust Random Cut Forest (RRCF) algorithm.
We will focus on the RRCF algorithm and its application to time series data.
We examine how a Robust Random Cut Tree (RRCT) is
created and how to calculate the \textit{Collusive Displacement} (CODISP) of each node
in the tree.
To improve the RRCF algorithm, we introduce a density measure which
measures how ‘dense' the given data is.
Using the density measure, we propose a WRCF algorithm called a WRCF which chooses the \split values
considering the shape of the given data set.
We apply the RRCF algorithm to the
geophysical time series data collected from
Gravity Recovery and Climate Experiment (GRACE) satellite which
contains Earth’s water movement and surface mass changes and we
investigate how the RRCF performs for the analysis of the GRACE data.
- URI
- http://postech.dcollection.net/common/orgView/200000601057
https://oasis.postech.ac.kr/handle/2014.oak/112251
- Article Type
- Thesis
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