군집화를 이용한 주거환경의 특징 분류

• 영문명: Features classification of the housing environment using clustering
• 발행기관: 한국IT마케팅학회
• 저자명: 최은희(Eun Hee Choi) 정용규(Yong Gyu Jung)
• 간행물 정보: 『한국IT마케팅학회 논문집』2015 IT마케팅학회 논문집 Vol.1 No.1, 87~90쪽, 전체 4쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2015.11.20

영문 초록

Current society of enormous and variety data, in order to find the relationship between the hidden pattern data that is poorly processed, a data mining technique is an important element for applying sophisticated statistical analysis and modeling has become a technology limelight. Therefore, in this paper, for data mining experiments, to analyze building environmental data provided by the Australian government, predict the housing environment. Use the clustering was applied the EM algorithm to the experiment. This analysis classifies the characteristics of the living environment, exchanged into three communities with similar properties, depending on the congestion individuals to easily select an important living environment, it has become possible to predict.

목차

Abstract

I. 서론

II. 관련연구

III. 실험 및 실험 결과

IV. 결론

참고문헌

키워드

Data Mining pattern Clusterers EM Living environment