An implementation of a skyline method over a crime dataset for top-K queries
- Authors
- Ihm S.-Y.; Hur J.-H.; Ou S.-B.; Park S.-H.; Song Y.-J.; Jang W.-I.; Park Y.-H.
- Issue Date
- Oct-2015
- Publisher
- Association for Computing Machinery
- Keywords
- Crime dataset; Skyline method; Top-k queries
- Citation
- BigDAS '15: Proceedings of the 2015 International Conference on Big Data Applications and Services, v.20-23-October-2015, pp 161 - 164
- Pages
- 4
- Journal Title
- BigDAS '15: Proceedings of the 2015 International Conference on Big Data Applications and Services
- Volume
- 20-23-October-2015
- Start Page
- 161
- End Page
- 164
- URI
- https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/10211
- DOI
- 10.1145/2837060.2837086
- ISSN
- 0000-0000
- Abstract
- 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.
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