인공지능 기반 부동산 가격 추정 웹 서버 구현

Artificial intelligence-based real estate price estimation Web server implementation

초록

The purpose of this study is to implement an artificial intelligence-based real estate price estimation web using Tensorflow.js. Public data was used for data analysis, and insufficient data was collected using Web crawling techniques. An artificial neural network-based regression analysis is conducted to estimate the sale price of apartments. The analysis process and result data were visualized and presented. As a result, users were able to analyze data using deep learning without expertise and extract analysis process and result data.

키워드

텐서플로우.인공지능딥러닝빅 데이터웹 크롤링회귀분석TensorflowArtificial Intelligence Deep LearningBig DataWeb-CrawlingRegression Analysis
제목
인공지능 기반 부동산 가격 추정 웹 서버 구현
제목 (타언어)
Artificial intelligence-based real estate price estimation Web server implementation
저자
김선욱지승열전한종
발행일
2020-10
유형
Proceeding
저널명
대한건축학회 2020년도 추계학술발표대회논문집
40
2
페이지
209 ~ 212