Analyzing Accident Prone Regions by Clustering
Download
Full text for this resource is not available from the Research Repository.
Export
Paul, Shuvashish, Alvi, Ashik Mostafa ORCID: 0000-0001-7898-2030, Nirjhor, Mahmudul Alam, Rahman, Shohanur, Orcho, Adeeba Kashfee and Rahman, Rashedur M (2017) Analyzing Accident Prone Regions by Clustering. In: Advanced Topics in Intelligent Information and Database Systems. Król, D, Nguyen, NT and Shirai, K, eds. Studies in Computational Intelligence, 710 . Springer International Publishing, pp. 3-13.
Dimensions Badge
Altmetric Badge
Item type | Book Section |
URI | https://vuir.vu.edu.au/id/eprint/46079 |
DOI | 10.1007/978-3-319-56660-3_1 |
Official URL | https://link.springer.com/chapter/10.1007/978-3-31... |
ISBN | 9783319566597 |
Subjects | Current > FOR (2020) Classification > 4605 Data management and data science Current > Division/Research > First Year College Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
Keywords | traffic accident; accidental injury; Dhaka City; Bangladesh; hazardous regions; t data-mining; k-means clustering |
Citations in Scopus | 9 - View on Scopus |
Download/View statistics | View download statistics for this item |
CORE (COnnecting REpositories)