Analyzing Accident Prone Regions by Clustering

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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.

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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
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