빅데이터를 활용한 가구특성별 주거입지 및 주택유형 선택에 관한 데이터베이스 구축 = Construction of database about Residential location based on household characteristics and selection of houses-type utilizing Big Data

다국어 초록 (Multilingual Abstract)

Recently there has been a growing interest in the effective use of big data. In particular, until now extracts the rules and patterns from a large amount of various data that little-known, is growing social interest to use the information. Big data is simply to extract information that is not limited to extract not well known information by monitoring the social issues but develop customized service model through the simulation, formulates support services, and a policy can be the ultimate purpose is to cooperate to achieve a happy society. However, the reality is still that such as academic research and discussion for effective use of big data from residential, urban, architecture in the social sciences. In this study, as part of the effective use of big data and take advantage of government 3.0 public data that the current government is promoting, based on the database to select the type of furniture properties by residential location and housing type, it is an object of this by indexing to construct a data rule. In this study, it is Summarizing to the public data Obtain meaningful result value. It plans to leverage the data subsystem for establishing decision support systems needed for decision-making on household characteristics by residential location and housing type selected.

목차 (Table of Contents)

• ABSTRACT
• 1. 서론
• 2. 이론적 고찰
• 3. 공공데이터(정부 3.0)을 활용한 지표설정
• 4. 설문지 작성 및 결과물 활용한 DB 구축
• 5. 결론
• 참고문헌