Classification of Road Traffic Collision Patterns using Decision Trees
dc.contributor.advisor | Sang, Nguyen Thi Thanh | |
dc.contributor.author | Son, Do Thai | |
dc.date.accessioned | 2019-11-11T07:33:24Z | |
dc.date.available | 2019-11-11T07:33:24Z | |
dc.date.issued | 2018 | |
dc.identifier.other | 022004434 | |
dc.identifier.uri | http://keep.hcmiu.edu.vn:8080/handle/123456789/3272 | |
dc.description.abstract | This document describes data mining algorithms used to calculate the gain ID3 and gain ratio to create decision trees for a given database. The database is about a collision of the vehicle in Northern Ireland through many years. The tree will be used to predict a vehicle collision severity base on the simulated sensor data. It also explains the project implementation, along with the technologies used in the project. In term of consummation, the venture is in its prepared state and runs appropriately for the clear majority of the gadgets. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | International University - HCMC | en_US |
dc.subject | Data mining algorithms | en_US |
dc.title | Classification of Road Traffic Collision Patterns using Decision Trees | en_US |
dc.type | Thesis | en_US |