[PDF][PDF] Feature relevance analysis and classification of road traffic accident data through data mining techniques
S Shanthi, RG Ramani - Proceedings of the world congress on …, 2012 - iaeng.org
Data Mining classification algorithms in predicting the factors which influence the road traffic
accidents specific to injury severity. It precisely compares the performance of classification …
accidents specific to injury severity. It precisely compares the performance of classification …
Mining road traffic accident data for prediction of accident severity
TK Bahiru, VS Manjula, TB Akele… - … on Intelligent Data …, 2023 - ieeexplore.ieee.org
As World Health Organization reports show more than 1.3 million people die each year from
traffic accidents and more than twenty to fifty million people are harmed by non-fatal …
traffic accidents and more than twenty to fifty million people are harmed by non-fatal …
An empirical analysis of decision tree algorithms: Modeling hepatitis data
M Ramasamy, S Selvaraj… - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
Data mining refers to the process of retrieving knowledge by discovering patterns from large
datasets. This paper highlights the performance of seven decision tree classification …
datasets. This paper highlights the performance of seven decision tree classification …
Autism spectrum disorder prediction using machine learning algorithms
S Selvaraj, P Palanisamy, S Parveen… - Computational Vision and …, 2020 - Springer
The objective of the research is to foresee Autism Spectrum Disorder (ASD) in toddlers with
the help of machine learning algorithms. Of late, machine learning algorithms play vital role …
the help of machine learning algorithms. Of late, machine learning algorithms play vital role …
Classifier prediction evaluation in modeling road traffic accident data
This paper illustrates the research work in exploring the application of data mining
techniques to aid in the prediction of road accident patterns related to pedestrian …
techniques to aid in the prediction of road accident patterns related to pedestrian …
[PDF][PDF] Pragmatic approach for refined feature selection for the prediction of road accident severity
RG Ramani, SA Selvaraj - Studies in Informatics and Control, 2014 - sic.ici.ro
Road accident analysis is very challenging task and investigating the dependencies
between the attributes become complex because of many environmental and road related …
between the attributes become complex because of many environmental and road related …
Learning through misclassified instances using pipelined voting algorithm for aggregated feature selection (p-vaafs) in the prediction of road accident severity
G Ramani, S Selvaraj - Advances in Natural and Applied Sciences, 2016 - go.gale.com
Background: To formulate a suitable function for measuring the relevance between different
factors of the heterogeneous, high dimensional and sparse nature of the road accident …
factors of the heterogeneous, high dimensional and sparse nature of the road accident …
Road Accident Analysis Using Data Mining Techniques
S Verma, PK Singh - 2016 - ir.juit.ac.in
A traffic collision, also known as a motor vehicle collision (MVC) among others, occurs when
a vehicle collides with another vehicle, pedestrian, animal, road debris, or other stationary …
a vehicle collides with another vehicle, pedestrian, animal, road debris, or other stationary …
[引用][C] Development of Hybrid Algorithm for Road Accident Protection (Paper Id: 195)
C Jayapratha, JM Gnanasekar