The Traffic Accidents Analysis Base on Association Rule Mining of Yuxi City in China

Article Preview

Abstract:

According to the characteristics of small cities accident in China, selectively build data mining models. The algorithm focus on mining association rules to small cities accidents analysis system. Experiments show that the algorithm is superior to other algorithms. In this paper, the relationship matrix algorithm by using association rules on accident data, data mining, and mining results were analyzed to verify the effectiveness of the system.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 1030-1032)

Pages:

2161-2165

Citation:

Online since:

September 2014

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] M. H. DUNHAM, Data mining - introductory and advanced topics, Pearson Education Inc, Upper Saddle River, New Jersey, USA, (2003).

Google Scholar

[2] K. GEURTS, G. WETS, T. BRIJS, AND K. VANHOOF, Clustering and profiling traffic roads by means of accident data, in Proceedings of the European Transport Conference 2003, Strasbourgh (France), October 8-10, (2003).

Google Scholar

[3] J. HAN AND M. KAMBER, Data mining: concepts and techniques, Morgan Kaufmann Publishers, Inc., (2006).

Google Scholar

[4] T. HASTIE, R. TIBSHIRANI, AND J. FRIEDMAN, The elements of statistical learning: Data mining, inference and prediction, Springer-Verlag, (2001).

Google Scholar

[5] I. ABUGESSAISA, Analytical tools and information-sharing methods supporting road safety organizations, PhD thesis, Link.

Google Scholar

[6] T. K¨ARKK¨AINEN AND S. ¨AYR¨AM¨O , Robust clustering methods for incomplete and erroneous data, in Proceedings of the Fifth Conference on Data Mining, 2004, p.101–112.

Google Scholar