Using Decision Tree Data Mining Algorithm to Predict Causes of Road Traffic Accidents, its Prone Locations and Time along Kano

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Using Decision Tree Data Mining Algorithm to Predict Causes of Road Traffic Accidents, its Prone Locations and Time along Kano –Wudil Highway

Published:2017-01-31 Issue:1 Volume:10 Page:197-206
ISSN:2005-4270
Container-title:International Journal of Database Theory and Application
language:
Short-container-title:IJDTA

Author:

Muhammad L. J.,Salisu Sani,Yakubu Atomsa,Malgwi Yusuf Musa,Abdullahi Elrufai Tijjani,Mohammed I .A.,Muhammad Nuhu Abdul’alim

Publisher

NADIA

Subject

General Computer Science

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The typical AV accident scenarios in the urban area obtained by clustering and association rule mining of real-world accident reports;Heliyon;2024-02

2. Investigating the performance of machine learning algorithms in predicting the survival of COVID‐19 patients: A cross section study of Iran;Health Science Reports;2023-04

3. Traffic improvisation by identifying the accident locations using ML/Data mining approaches;2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N);2022-12-16

4. Classifying the Severity Levels of Traffic Accidents Using Decision Trees;Proceedings of the International Conference on Mathematical Sciences and Statistics 2022 (ICMSS 2022);2022-12-06

5. A Comparative Machine Learning Study on IT Sector Edge Nearer to Working From Home (WFH) Contract Category for Improving Productivity;December 2020;2021-02-08

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