-
1
-
-
0345867100
-
Analysis of driver injury severity levels at multiple locations using ordered probit models
-
Abdel-Aty M. Analysis of driver injury severity levels at multiple locations using ordered probit models. Journal of Safety Research 34 5 (2003) 597-603
-
(2003)
Journal of Safety Research
, vol.34
, Issue.5
, pp. 597-603
-
-
Abdel-Aty, M.1
-
2
-
-
14844346961
-
Exploring the overall and specific crash severity levels at signalized intersections
-
Abdel-Aty M., and Keller J. Exploring the overall and specific crash severity levels at signalized intersections. Accident Analysis and Prevention 37 3 (2005) 417-425
-
(2005)
Accident Analysis and Prevention
, vol.37
, Issue.3
, pp. 417-425
-
-
Abdel-Aty, M.1
Keller, J.2
-
3
-
-
0035689114
-
Development of artificial neural network models to predict driver injury severity in traffic accidents at signalized intersections
-
Abdelwahab H., and Abdel-Aty M. Development of artificial neural network models to predict driver injury severity in traffic accidents at signalized intersections. Transportation Research Record 1746 (2001) 6-13
-
(2001)
Transportation Research Record
, vol.1746
, pp. 6-13
-
-
Abdelwahab, H.1
Abdel-Aty, M.2
-
4
-
-
0027621699
-
-
Agrawal, R., Imielinski, T., Swami, A., 1993. Mining association rules between sets of items in large databases. In: Proceedings of the ACM SIGMOD, Washington DC, pp. 207-216.
-
Agrawal, R., Imielinski, T., Swami, A., 1993. Mining association rules between sets of items in large databases. In: Proceedings of the ACM SIGMOD, Washington DC, pp. 207-216.
-
-
-
-
5
-
-
24144490817
-
Older drivers and accidents: a meta analysis and data mining application on traffic accident data
-
Bayam E., Liebowitz J., and Agresti W. Older drivers and accidents: a meta analysis and data mining application on traffic accident data. Expert Systems with Applications 29 3 (2005) 598-629
-
(2005)
Expert Systems with Applications
, vol.29
, Issue.3
, pp. 598-629
-
-
Bayam, E.1
Liebowitz, J.2
Agresti, W.3
-
6
-
-
56949097216
-
-
Bayardo Jr., R., Agrawal, R., 1999. Mining the most interesting rules. In: Proceedings of the 1999 ACM-SIGKDD International Conference on Knowledge Discovery in Databases and Data Mining, pp. 145-154.
-
Bayardo Jr., R., Agrawal, R., 1999. Mining the most interesting rules. In: Proceedings of the 1999 ACM-SIGKDD International Conference on Knowledge Discovery in Databases and Data Mining, pp. 145-154.
-
-
-
-
7
-
-
0031162961
-
-
Brin, S., Motwani, R., Ullman, J., Tsur, S., 1997. Dynamic itemset counting and implication rules for market basket data. In: Proceedings of the 1997 ACM-SIGMOD International Conference on the Management of Data, pp. 255-264.
-
Brin, S., Motwani, R., Ullman, J., Tsur, S., 1997. Dynamic itemset counting and implication rules for market basket data. In: Proceedings of the 1997 ACM-SIGMOD International Conference on the Management of Data, pp. 255-264.
-
-
-
-
8
-
-
11344285341
-
Beyond market baskets: generalizing association rules to dependence rules
-
Brin S., Motwani R., and Silverstein C. Beyond market baskets: generalizing association rules to dependence rules. Data Mining and Knowledge Discovery 2 1 (1998) 39-68
-
(1998)
Data Mining and Knowledge Discovery
, vol.2
, Issue.1
, pp. 39-68
-
-
Brin, S.1
Motwani, R.2
Silverstein, C.3
-
9
-
-
27544497495
-
Analysis of freeway accident frequencies: negative binomial regression versus artificial neural network
-
Chang L.-Y. Analysis of freeway accident frequencies: negative binomial regression versus artificial neural network. Safety Science 43 8 (2005) 541-557
-
(2005)
Safety Science
, vol.43
, Issue.8
, pp. 541-557
-
-
Chang, L.-Y.1
-
10
-
-
27544446036
-
Data mining of tree-based models to analyze freeway accident frequency
-
Chang L.-Y., and Chen W.-C. Data mining of tree-based models to analyze freeway accident frequency. Journal of Safety Research 36 4 (2005) 365-375
-
(2005)
Journal of Safety Research
, vol.36
, Issue.4
, pp. 365-375
-
-
Chang, L.-Y.1
Chen, W.-C.2
-
11
-
-
0030156999
-
-
Fukuda, T., Morimoto, Y., Morishita, S., Tokuyama, T., 1996. Data mining using two-dimensional optimized association rules: scheme, algorithms, and visualization. In: Proceedings of the 1996 ACM-SIGMOD International Conference on the Management of Data, pp. 13-23.
-
Fukuda, T., Morimoto, Y., Morishita, S., Tokuyama, T., 1996. Data mining using two-dimensional optimized association rules: scheme, algorithms, and visualization. In: Proceedings of the 1996 ACM-SIGMOD International Conference on the Management of Data, pp. 13-23.
-
-
-
-
12
-
-
19944403310
-
Understanding spatial concentrations of road accidents using frequent item sets
-
Geurts K., Thomas I., and Wets G. Understanding spatial concentrations of road accidents using frequent item sets. Accident Analysis and Prevention 37 4 (2005) 787-799
-
(2005)
Accident Analysis and Prevention
, vol.37
, Issue.4
, pp. 787-799
-
-
Geurts, K.1
Thomas, I.2
Wets, G.3
-
13
-
-
0346723151
-
A Method for relating type of cash to traffic flow characteristics on urban freeways
-
Golob T., and Recker W. A Method for relating type of cash to traffic flow characteristics on urban freeways. Transportation Research - Part A, Policy and Practice 38 (2004) 52-80
-
(2004)
Transportation Research - Part A, Policy and Practice
, vol.38
, pp. 52-80
-
-
Golob, T.1
Recker, W.2
-
14
-
-
0037333762
-
Accident prediction models for urban roads
-
Greibe P. Accident prediction models for urban roads. Accident Analysis and Prevention 35 2 (2005) 273-285
-
(2005)
Accident Analysis and Prevention
, vol.35
, Issue.2
, pp. 273-285
-
-
Greibe, P.1
-
15
-
-
0003987805
-
-
The MIT Press, Cambridge, MA
-
Hand D., Mannila H., and Smyth P. Principles of Data Mining (2001), The MIT Press, Cambridge, MA
-
(2001)
Principles of Data Mining
-
-
Hand, D.1
Mannila, H.2
Smyth, P.3
-
16
-
-
56949088443
-
-
SAS Institute, Cary, NC
-
SAS Institute. Getting started with enterprise miner software. Release 4.1 (2001), SAS Institute, Cary, NC
-
(2001)
Release 4.1
-
-
SAS Institute1
-
18
-
-
56949103691
-
-
Traffic Safety Facts, 2001. National Highway Traffic Safety Administration. National Center for Statistics and Analysis.
-
Traffic Safety Facts, 2001. National Highway Traffic Safety Administration. National Center for Statistics and Analysis.
-
-
-
-
19
-
-
0242456800
-
-
Tuzhilin, A., Adomavicius, G., 2002. Handling very large numbers of association rules in the analysis of microarray data. In: Proceedings of the 2002 ACM-SIGKDD International Conference on Knowledge discovery and Data Mining, pp. 396-404.
-
Tuzhilin, A., Adomavicius, G., 2002. Handling very large numbers of association rules in the analysis of microarray data. In: Proceedings of the 2002 ACM-SIGKDD International Conference on Knowledge discovery and Data Mining, pp. 396-404.
-
-
-
-
20
-
-
0242456825
-
-
Tuzhilin, A., Liu, B., 2002. Querying multiple sets of discovered rules. In: Proceedings of the 2002 ACM-SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 52-60.
-
Tuzhilin, A., Liu, B., 2002. Querying multiple sets of discovered rules. In: Proceedings of the 2002 ACM-SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 52-60.
-
-
-
|