소셜데이터를 이용한 범죄 예방 애플리케이션 설계

• 영문명: Design on the Crime Prevention Application using Social Data
• 발행기관: 한국IT마케팅학회
• 저자명: 장석준(Seok Jun Jang) 이기영(Ki Young Lee) 서희명(Heui Myung Suh)
• 간행물 정보: 『한국IT마케팅학회 논문집』2015 IT마케팅학회 논문집 Vol.1 No.1, 41~42쪽, 전체 2쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2015.11.20

영문 초록

Recently big data based crime prevention system has been utilized by the central government. Such systems play the role of minimizing occurrences of crime and stabilizing public order by predicting time and place of the crime through analysis of crime-related diverse data. However there are still institutional limitations and security issues to apply such crime prevention systems to general public. This study aims to collect crime-related information from social data such as SNS as well as information and media publicized on the private level and to create data for crime prevention by implementing the LDA topic modeling.

목차

Abstract

I. 서론

II. 관련연구

III. LDA 토픽기반의 범죄예방 애플리케이션모델링

Ⅳ. 결론

참고문헌

키워드

Social Network Services Text Mining LDA Topic Modeling Big Data