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A Prediction Model for Road Accident Risk in the New Year with Data Mining |
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| รหัสดีโอไอ | |
| Creator | ภัทธิรา สุวรรณโค |
| Title | A Prediction Model for Road Accident Risk in the New Year with Data Mining |
| Contributor | ดร.นิศาชล จำนงศรี, ผศ. ดร.จิติมนต์ อั่งสกุล |
| Publisher | Faculty of Information Science and Technology, Mahanakorn University of Technology |
| Publication Year | 2560 |
| Journal Title | Journal of Information Science and Technology |
| Journal Vol. | 7 |
| Journal No. | 2 |
| Page no. | 10-19 |
| Keyword | Prediction, Data Mining, Meta Bagging, Multilayer Perceptron, Nave Bayes |
| URL Website | https://tci-thaijo.org/index.php/JIST |
| Website title | Journal of Information Science and Technology |
| ISSN | 2651-1053 |
| Abstract | Thailand's road death rate is the world's highest in 2015, most of which comes from pedestrians. This research introduces a model to predict the risk of road accidents in the New Year day. Data mining technique is used with data based on accident information, casualties and deaths collected during the 2008-2015 by the Government Information Center. By comparing the performance of Na?ve Bayes Multilayer Perceptron and Meta bagging, a popular technique is used to forecast. The experiments show that Meta bagging technique is more effective than Multilayer Perceptron and Na?ve Bayes. |
