학술논문
A Study on the Analysis of Seoul Apartments Price Trend Using a Clustering Algorithm
이용수 2
- 영문명
- 군집분석을 통한 서울시 아파트 행정구역별 가격 흐름 특성에 관한 연구
- 발행기관
- 한국산업경영시스템학회
- 저자명
- Hong-Seok Lee(이홍석) Kang-Won Lee(이강원)
- 간행물 정보
- 『한국산업경영시스템학회 학술대회』2018년 춘계학술대회 논문집, 30~30쪽, 전체 1쪽
- 주제분류
- 공학 > 산업공학
- 파일형태
- 발행일자
- 2018.05.12
무료
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국문 초록
영문 초록
The purpose of this paper is to find out how each districts(Gu) of Seoul are related based on the apartment price trends. All the data used in this paper comes from a public data sources, Seoul apartments transaction data provided by ‘Ministry of Land Infrastructure and Transport Korea’ and the apartments properties from NAVER’s real estate service. To analyze the similarities between the price trends of each apartments, this study uses FastDTW algorithm which is quite popular in time series analysis domain. After figured out the distance matrix from FastDTW, this study uses Hierarchical Clustering algorithm and Chi-squared test to compare each districts’ relationship. The analysis result shows that which districts in Seoul are similar and which districts are not.
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