Data mining of tree-based models to analyze freeway accident frequency

Bevilacqua, 2003, The classification and regression tree approach to pump failure rate analysis, Reliability Engineering and System Safety, 79, 59, 10.1016/S0951-8320(02)00180-1

Breault, 2002, Data mining a diabetic data warehouse, Artificial Intelligence in Medicine, 26, 37, 10.1016/S0933-3657(02)00051-9

Breiman, 1998

Carson, 2001, The effect of ice warning signs on ice-accident frequency and severity, Accident Analysis and Prevention, 33, 99, 10.1016/S0001-4575(00)00020-8

Fayyad, 1996

Fu, 2004, Combining loglinear model with classification and regression tree (CART): An application to birth data, Computational Statistics and Data Analysis, 45, 865, 10.1016/S0167-9473(03)00092-6

Hui, 2000, Data mining for customer service support, Information and Management, 38, 1, 10.1016/S0378-7206(00)00051-3

Hadi, 1995, Estimating safety effects of cross-section design for various highway types using negative binomial regression, Transportation Research Record, 1500, 169

Harrell, 2001

Ivan, 2000, Explaining two-lane highway crash rates using land use and hourly exposure, Accident Analysis and Prevention, 32, 787, 10.1016/S0001-4575(99)00132-3

Karlaftis, 2002, Effects of road geometry and traffic volumes on rural roadway accident rates, Accident Analysis and Prevention, 34, 357, 10.1016/S0001-4575(01)00033-1

Kuhnert, 2000, Combining non-parametric models with logistic regression: An application to motor vehicle injury data, Computational Statistics and Data Analysis, 34, 371, 10.1016/S0167-9473(99)00099-7

Lee, 2002, Modeling young driver motor vehicle crashes: Data with extra zero, Accident Analysis and Prevention, 34, 515, 10.1016/S0001-4575(01)00049-5

Lee, 2002, Impact of roadside features on the frequency and severity of run-off-roadway accidents: An empirical analysis, Accident Analysis and Prevention, 34, 149, 10.1016/S0001-4575(01)00009-4

Marshall, 2001, The use of classification and regression trees in clinical epidemiology, Journal of Clinical Epidemiology, 54, 603, 10.1016/S0895-4356(00)00344-9

Martin, 2002, Relationship between crash rate and hourly traffic flow on interurban motorways, Accident Analysis and Prevention, 34, 619, 10.1016/S0001-4575(01)00061-6

McCarthy, 1999, Public policy and highway safety: A city-wide perspective, Regional Science and Urban Economics, 29, 231, 10.1016/S0166-0462(98)00030-1

Miaou, 1994, The relationship between truck accidents and geometric design of road sections: Poisson versus negative binomial regressions, Accident Analysis and Prevention, 26, 471, 10.1016/0001-4575(94)90038-8

Milton, 1998, The relationship among highway geometrics, traffic-related elements and motor-vehicle accident frequencies, Transportation, 25, 395, 10.1023/A:1005095725001

Pendharkar, 2004, An exploratory study of object-oriented software component size determinants and the application of regression tree forecasting models, Information and Management, 42, 61, 10.1016/j.im.2003.12.004

Poch, 1996, Negative binomial analysis of intersection-accident frequencies, Journal of Transportation Engineering, 122, 105, 10.1061/(ASCE)0733-947X(1996)122:2(105)

Rygielski, 2002, Data mining techniques for customer relationship management, Technology in Society, 24, 483, 10.1016/S0160-791X(02)00038-6

Shankar, 1995, Effect of roadway geometrics and environmental factors on rural freeway accident frequencies, Accident Analysis and Prevention, 27, 371, 10.1016/0001-4575(94)00078-Z

Shankar, 1997, Modeling accident frequencies as zero-altered probability processes: An empirical inquiry, Accident Analysis and Prevention, 29, 829, 10.1016/S0001-4575(97)00052-3

Shaw, 2001, Knowledge management and data mining for marketing, Decision Support Systems, 31, 127, 10.1016/S0167-9236(00)00123-8

Valafar, 2002, Data mining and knowledge discovery in proton nuclear magnetic resonance (1H-NMR) spectra using frequency to information transformation, Knowledge-Based Systems, 15, 251, 10.1016/S0950-7051(01)00147-2

Washington, 2003

Yang, 2003, Application of decision tree technology for image classification using remote sensing data, Agricultural Systems, 76, 1101, 10.1016/S0308-521X(02)00051-3