Jerrold H. May
Professor of Business Administration
Business Analytics and Operations
Office: 278A Mervis Hall
- PhD, Yale University
- MPhil, Yale University
- BA, Roosevelt University
Jerrold H. May has been a faculty member of KGSB since 1974. He is currently interested in data mining, and is a member of INFORMS and AAAI.
- Optimization (PhD)
- Data Mining (PhD)
- Nonlinear Programming (PhD)
- Research Methodology for Empirical Decision Science (PhD)
- Data Mining (MBA)
- Decision Technology (MBA)
- Statistical Analysis (MBA)
- Artificial Intelligence
- Management Science
- "An Exact Test of the Accuracy of Binary Classification Models Based on the Probability Distribution of the Average Rank," Mathematical and Computer Modelling (to appear).
- "When to Choose an Ensemble Model for Binary Classification," International Journal of Business Intelligence and Data Mining (to appear).
- "Modeling Complexity in Physically-Distributed Object-Oriented Systems," Journal of Computer Information Systems (to appear).
- "A Hybrid Data Mining/Optimization Technique for Modeling Outpatient No-Shows in Clinic Scheduling," Journal of the Operational Research Society 60 (2009) 1056-1068.
- "Decision Making In Distributed Objects Using Radio Frequency Identification." Journal of International Management Studies 4 (2009) 11-19.
- "An Optimization-based Approach for the Design of Bayesian Networks," Mathematical and Computer Modelling 48 (2008) 1265-1278.
- "Conflict Identification and Reconciliation in a Collaborative Manufacturing Scheduling Task," International Journal of Information Technology & Decision Making 7 (2008) 147-174.
- "Targeted Advertising Strategies on Television," Management Science 52: (2006) 713-725.
- "Evaluating and Tuning Predictive Data Mining Methods Using Receiver Operating Characteristic Curves," Journal of MIS, 21:3 (Winter 2004-5) 249-280.
- "Assessing the predictive accuracy of diversity measures with domain-dependent, asymmetric misclassification costs," Information Fusion 6:1 (2005) 37-48.
- "Estimating Procedure Times for Surgical Scheduling by Determining Location Parameters for the Logonormal Model," Health Care Management Science, 7:2 (2004), 97-104.
- "Using Data Mining to Profile Television Viewers," Communications of the ACM, 46:12 (2003), 66-72.
- "Estimating Times of Surgeries with Two Component Procedures: Comparison of the Lognormal and Normal Models," Anesthesiology, 98:1 (2003), 232-240.
- "A Data Mining Approach to Characterizing Medical Code Usage Patterns," Journal of Medical Systems, 26:3 (2002), 255-275.