-
1
-
-
77956225257
-
Knowledge discovery in road accidents database - integration of visual and automatic data mining methods
-
Abugessaisa I. Knowledge discovery in road accidents database - integration of visual and automatic data mining methods. International Journal of Public Information Systems 2008, 1:59-85.
-
(2008)
International Journal of Public Information Systems
, vol.1
, pp. 59-85
-
-
Abugessaisa, I.1
-
2
-
-
64849103766
-
-
Kernel density estimation and K-means clustering to profile road accident hotspots. Accident Analysis and Prevention. doi:10.1016/j.aap.2008.12.014
-
Anderson, T.K., 2009. Kernel density estimation and K-means clustering to profile road accident hotspots. Accident Analysis and Prevention. doi:10.1016/j.aap.2008.12.014.
-
(2009)
-
-
Anderson, T.K.1
-
3
-
-
85009571726
-
Data mining applications in transportation engineering
-
(Vilnius: Technika)
-
Barai S.K. Data mining applications in transportation engineering. Transport 2003, 18(5):216-223. (Vilnius: Technika).
-
(2003)
Transport
, vol.18
, Issue.5
, pp. 216-223
-
-
Barai, S.K.1
-
4
-
-
33745753402
-
Analysis of traffic injury severity: an application of non-parametric classification tree techniques
-
Chang L.Y., Wang H.Y. Analysis of traffic injury severity: an application of non-parametric classification tree techniques. Accident Analysis and Prevention 2006, 38:1019-1027.
-
(2006)
Accident Analysis and Prevention
, vol.38
, pp. 1019-1027
-
-
Chang, L.Y.1
Wang, H.Y.2
-
5
-
-
0004042547
-
-
SPSS Inc.
-
Chapman P., Clinton J., Kerber R., Khabaza T., Reinartz T., Shearer C., Wirth R. CRISP-DM 1.0: Step-by-step Data Mining Guide 2000, SPSS Inc.
-
(2000)
CRISP-DM 1.0: Step-by-step Data Mining Guide
-
-
Chapman, P.1
Clinton, J.2
Kerber, R.3
Khabaza, T.4
Reinartz, T.5
Shearer, C.6
Wirth, R.7
-
6
-
-
33645252696
-
Traffic accident analysis using decision trees and neural networks
-
IADIS Press, ISBN: 9729894736
-
Chong M.M., Abraham A., Paprzycki M. Traffic accident analysis using decision trees and neural networks. IADIS International Conference on Applied Computing, Portugal 2004, vol. 2:39-42. IADIS Press, ISBN: 9729894736.
-
(2004)
IADIS International Conference on Applied Computing, Portugal
, vol.2
, pp. 39-42
-
-
Chong, M.M.1
Abraham, A.2
Paprzycki, M.3
-
7
-
-
23844506552
-
Traffic accident analysis using machine learning paradigms
-
Chong M., Abraham A., Paprzycki M. Traffic accident analysis using machine learning paradigms. Informatica 2005, 29:89-98.
-
(2005)
Informatica
, vol.29
, pp. 89-98
-
-
Chong, M.1
Abraham, A.2
Paprzycki, M.3
-
8
-
-
46149097412
-
Traffic accident segmentation by means of latent class clustering
-
Depaire B., Wets G., Vanhoof K. Traffic accident segmentation by means of latent class clustering. Accident Analysis and Prevention 2008, 40:1257-1266.
-
(2008)
Accident Analysis and Prevention
, vol.40
, pp. 1257-1266
-
-
Depaire, B.1
Wets, G.2
Vanhoof, K.3
-
11
-
-
33845423521
-
-
Springer, Berlin, Heidelberg, New York
-
Huang T.M., Kecman V., Kopriva I. Kernel Based Algorithms for Mining Huge Data Sets 2006, Springer, Berlin, Heidelberg, New York.
-
(2006)
Kernel Based Algorithms for Mining Huge Data Sets
-
-
Huang, T.M.1
Kecman, V.2
Kopriva, I.3
-
14
-
-
15744372838
-
-
A neural network approach for railway safety prediction. In: 2004 IEEE International Conference on Systems, Man and Cybemetics.
-
Nefti, S., Oussalah, M., 2004. A neural network approach for railway safety prediction. In: 2004 IEEE International Conference on Systems, Man and Cybemetics.
-
(2004)
-
-
Nefti, S.1
Oussalah, M.2
-
15
-
-
77956232229
-
-
RAI,
-
RAI, 2006. http://www.rai.ir/.
-
(2006)
-
-
-
16
-
-
0037290189
-
Data fusion, ensemble and clustering to improve the classification accuracy for the severity of road traffic accidents in Korea
-
Sohn S.Y., Lee S.H. Data fusion, ensemble and clustering to improve the classification accuracy for the severity of road traffic accidents in Korea. Safety Science 2003, 41:1-14.
-
(2003)
Safety Science
, vol.41
, pp. 1-14
-
-
Sohn, S.Y.1
Lee, S.H.2
-
17
-
-
33646373410
-
Using data mining to improve traffic safety programs
-
(q Emerald Group Publishing Limited)
-
Solomon S., Nguyen H., Liebowitz J., Agresti W. Using data mining to improve traffic safety programs. Industrial Management & Data Systems 2006, 106(5):621-643. (q Emerald Group Publishing Limited).
-
(2006)
Industrial Management & Data Systems
, vol.106
, Issue.5
, pp. 621-643
-
-
Solomon, S.1
Nguyen, H.2
Liebowitz, J.3
Agresti, W.4
-
18
-
-
34848909556
-
Diagnostic analysis of the logistic model for pedestrian injury severity in traffic crashes
-
Sze N.N., Wong S.C. Diagnostic analysis of the logistic model for pedestrian injury severity in traffic crashes. Accident Analysis and Prevention 2007, 39:1267-1278.
-
(2007)
Accident Analysis and Prevention
, vol.39
, pp. 1267-1278
-
-
Sze, N.N.1
Wong, S.C.2
-
19
-
-
77956229353
-
Rule mining and classification of road traffic accidents using adaptive regression trees
-
Tesema T.B., Abraham A., Grosan C. Rule mining and classification of road traffic accidents using adaptive regression trees. International Journal of Simulation 2005, 6(10-11).
-
(2005)
International Journal of Simulation
, vol.6
, Issue.10-11
-
-
Tesema, T.B.1
Abraham, A.2
Grosan, C.3
-
20
-
-
77956225644
-
-
Update and improvement of the traffic accident data collection procedures in Spain: the METRAS method of sequencing accident events. In: Proceedings of the 4th IRTAD Conference. September, 2009, Korea.
-
Tormo, M.T., Sanmartin J., Pace J., 2009. Update and improvement of the traffic accident data collection procedures in Spain: the METRAS method of sequencing accident events. In: Proceedings of the 4th IRTAD Conference. September, 2009, Korea.
-
(2009)
-
-
Tormo, M.T.1
Sanmartin, J.2
Pace, J.3
-
21
-
-
0142058110
-
Biases in incident reporting databases: an empirical study in the chemical process industry
-
Van der schaaf T., Kanse L. Biases in incident reporting databases: an empirical study in the chemical process industry. Journal of Safety Science 2004, 42(1):57-67.
-
(2004)
Journal of Safety Science
, vol.42
, Issue.1
, pp. 57-67
-
-
Van der schaaf, T.1
Kanse, L.2
-
22
-
-
34548502433
-
Predicting motor vehicle collisions using Bayesian neural network models: an empirical analysis
-
Xie Y., Lord D., Zhang Y. Predicting motor vehicle collisions using Bayesian neural network models: an empirical analysis. Accident Analysis and Prevention 2007, 39:922-933.
-
(2007)
Accident Analysis and Prevention
, vol.39
, pp. 922-933
-
-
Xie, Y.1
Lord, D.2
Zhang, Y.3
|