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An implementation of a skyline method over a crime dataset for top-K queries
- Ihm, Sun-Young;
- Hur, Jae-Hee;
- Ou, Soo-Bin;
- Park, So-Hyun;
- Song, Yu-Jeong;
- ... Park, Young-Ho;
- 외 1명
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0초록
In recent years, social anxiety is getting worse due to the increasing crime and incident rates. Therefore the needs of crime data processing has been increased. In this paper, we propose a method constructing skyline index to retrieve crime data efficiently. Also we propose a normalization method to regularize the dataset. Copyright is held by the owner/author(s). Publication rights licensed to ACM.
키워드
Crime dataset; Skyline method; Top-k queries; Crime; Data handling; Information retrieval; Crime data; Incident rates; Normalization methods; Skyline indices; Skyline method; Social anxieties; Top-k query; Big data
- 제목
- An implementation of a skyline method over a crime dataset for top-K queries
- 저자
- Ihm, Sun-Young; Hur, Jae-Hee; Ou, Soo-Bin; Park, So-Hyun; Song, Yu-Jeong; Jang, Wu-In; Park, Young-Ho
- 발행일
- 2015-10
- 유형
- Conference Paper
- 저널명
- BigDAS '15: Proceedings of the 2015 International Conference on Big Data Applications and Services
- 권
- 20-23-October-2015
- 페이지
- 161 ~ 164
- 언어
- ENG
- 출판사
- Association for Computing Machinery
- 발행국가
- 미국
- 분량
- 4 페이지
- ISSN
- P 0000-0000