CrimeTelescope: crime hotspot prediction based on urban and social media data fusion

Author:

Yang DingqiORCID,Heaney Terence,Tonon Alberto,Wang Leye,Cudré-Mauroux Philippe

Funder

H2020 European Research Council

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference47 articles.

1. Arulanandam, R, Savarimuthu, BTR, Purvis, MA: Extracting crime information from online newspaper articles. In: Proceedings of the second australasian Web conference, pp 31–38. Australian Computer Society, Inc., Sydney (2014)

2. Bangor, A, Kortum, P, Miller, J: Determining what individual sus scores mean: adding an adjective rating scale. J. Usability Stud. 4(3), 114–123 (2009)

3. Bird, S, Klein, E, Loper, E: Natural language processing with Python: analyzing text with the natural language toolkit. O’Reilly Media, Inc., Sebastopol (2009)

4. Blei, DM, Ng, AY, Jordan, MI: Latent dirichlet allocation. J. Mach. Learn. Res. 3(Jan), 993–1022 (2003)

5. Block, RL, Block, CR: Space, place and crime: hot spot areas and hot places of liquor-related crime. Crime and place 4(2), 145–184 (1995)

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