Urban crime trends analysis and occurrence possibility prediction based on light gradient boosting machine
- Xiangzhi Tong,
- Pin Ni,
- Qingge Li,
- QiAo Yuan,
- Junru Liu,
- Hanzhe Lu
- Xi'an Jiaotong-Liverpool University,
- The University of Auckland
Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
Peer-reviewOpen access
Sustainable Development Goals
- SDG 16 Peace, Justice and Strong Institutions
Abstract
Publication Information
Output type
Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 98-103 (6 pages)Publication milestones
- Published - 20/08/2021
Publication status
Published - 20/08/2021
Publisher
Institute of Electrical and Electronics Engineers Inc., United StatesPublication series
- Publication series name: 2021 IEEE 4th International Conference on Big Data and Artificial Intelligence, BDAI 2021
ISBN (Print)
9781665412704ISBN (Electronic)
9781665412704Publication IDs
- handle.net: 10547/625923
- Scopus: 85114465804
Host publication title
2021 IEEE 4th International Conference on Big Data and Artificial Intelligence, BDAI 2021Access to documents
Accepted author manuscript, 2.7 MB
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Related Event
Title
2021 IEEE 4th International Conference on Big Data and Artificial Intelligence (BDAI)
Description
2021 IEEE 4th International Conference on Big Data and Artificial Intelligence (BDAI) (02/07/2021-04/07/2021, Qingdao)
Event type
ConferenceDate
02/07/2021 - 04/07/2021Location
Qingdao
