CFP last date
20 January 2025
Reseach Article

Analysis of Factors of Road Traffic Accidents using Enhanced Decision Tree Algorithm

by Naina Mahajan, Bikram Pal Kaur
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 135 - Number 6
Year of Publication: 2016
Authors: Naina Mahajan, Bikram Pal Kaur
10.5120/ijca2016908231

Naina Mahajan, Bikram Pal Kaur . Analysis of Factors of Road Traffic Accidents using Enhanced Decision Tree Algorithm. International Journal of Computer Applications. 135, 6 ( February 2016), 1-3. DOI=10.5120/ijca2016908231

@article{ 10.5120/ijca2016908231,
author = { Naina Mahajan, Bikram Pal Kaur },
title = { Analysis of Factors of Road Traffic Accidents using Enhanced Decision Tree Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { February 2016 },
volume = { 135 },
number = { 6 },
month = { February },
year = { 2016 },
issn = { 0975-8887 },
pages = { 1-3 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume135/number6/24050-2016908231/ },
doi = { 10.5120/ijca2016908231 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:34:59.690671+05:30
%A Naina Mahajan
%A Bikram Pal Kaur
%T Analysis of Factors of Road Traffic Accidents using Enhanced Decision Tree Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 135
%N 6
%P 1-3
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Decision tree is a data mining technique which is used to build classification model. ID3 and C4.5 are basic decision tree algorithms that are used to create classification model depending upon the different datasets. In this paper, the enhanced C4.5 algorithm is presented to analyze the traffic accident data using WEKA data mining tool. The main aim of this enhanced approach is to provide a simple, efficient model in classifying the data set. The efficiency of enhanced algorithm is drawn by comparing it with existing algorithms.

References
  1. Sivaraman sriram, xiaobu yuan, “An enhanced approach for classifying emotions using customized decision tree algorithm”, Proceedings of IEEE southeastcon, January, 2012
  2. X-F Zhang, and L. Fan. “A decision tree approach for traffic accident analysis of Saskatchewan highways”, 26th Annual Canadian Conference on IEEE, 5-8 May, 2013
  3. Davinder Kaur, Rajeev Bedi, Dr. Sunil Kumar Gupta, “Review of decision tree data mining algorithms: ID3 and C4.5,” Proceedings of international conference on Information Technology and Computer Science, July 11-12, 2015
  4. Davinder Kaur, Rajeev Bedi, Dr. Sunil Kumar Gupta, “Implementation of enhanced decision tree algorithm on traffic accident analysis”, International Journal of Science Research and Technology, Vol. 1, 2015, pp. 67-70
  5. Mehdi Mansouri, Mohammad Javed Kargar, “ Analysis and Monitoring of the traffic suburban road accidents using data mining techniques”, The Open Transportation Journal, Vol. 8, 2014, pp. 39-49
  6. Li, L, Zhang, X., “Study of Data Mining Algorithm based on Decision Tree,” International Conference on Computer Design and Applications, Vol. 1, 2010, pp. 155-158
  7. M. Mayilvaganan, D. Kalpanadevi, “Comparison of Classification Techniques for predicting the performance of Students Academic Environment”, International Conference on Communication and Network Technologies, 18-19 December, 2014
  8. Syed Tahir Hijazi, S.M.M Raza Naqvi, “Factors affecting Students Performance: A case of private colleges”, Bangladesh e-journal of Sociology, Vol. 3, 2006
  9. Olutayo V.A, Eludire A.A, “Traffic accident analysis using decision trees and neural networks”, International Journal of Information Technology and Computer Science, Vol. 2, 2014, pp. 22-28
  10. Duong Van Hieu, Nawaporn Wisitpongphan, Phayung Meesad, “Analysis of Factors which Impact Facebook Users’ Attitudes and Behaviors using Decision Tree Techniques”, 11TH International Joint Conference on Computer Science and Software Engineering, 14-16 May, 2014
  11. Bikram Pal Kaur, Himanshu Aggarwal, “Implementation failures of an Information system: A neuro computing approach”, International journal of computer applications, Vol. 58, 2012, pp 26-33
  12. Bikram Pal Kaur, Himanshu Aggarwal, “Exploration of success factor of Information system”, International Journal of computer science issues, Vol. 10, 2013, pp 226-235
Index Terms

Computer Science
Information Sciences

Keywords

C4.5 ID3 Decision tree algorithm NH (National highway) WEKA tool