ABOUT MY WORK
The interface between data mining and operations research. In my research work, I combine techniques from these two fields to achieve improved algorithms. I apply the methods mainly to health care applications and online auctions.
1. Yahav I. and Shmueli G., Outcomes Matter: Estimating Pre-Transplant Survival Rates of Kidney-Transplant Patients Using Simulation-Based Propensity Scores. Annals of Operations Research, 2013. Forthcoming. Link
2. Yahav I. and Shmueli G., Directionally-Sensitive Multivariate Control Charts in Practice: Application to Biosurveillance. Quality and Reliability Engineering International, 2013. Accepted. Link
3. Yahav I., Modeling Kidney Allocation: A Data-Driven Optimization Approach. John Wiley & Sons forthcoming monograph “Statistical Methods in Healthcare: Planning, Delivering, and Monitoring Care”. Wiley Online Library, 2012. Link
4. Yahav I. and Shmueli G., On Generating Multivariate Poisson Data in Management Science Applications. Applied Stochastic Models in Business and Industry. Wiley Online Library, 2011. Link
5. Lieberman M.D., Taheri S., Guo H., Mir-Rashed, F., Yahav I., Aris A., Shneiderman B., Visual Exploration Across Biomedical Databases. IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol 8(2), pp. 536-550. Link
1. Yahav I., Barnes S. and Golden, B., Early Detection of Bioterrorism: a Combined Social and Spatial Network Analysis. Submitted.
2. Yahav I., Network Analysis to Understand Consumers’ Choice in the Film Industry and Predict Pre-Release Weekly Box-Office Revenue.
3. Shmueli G. and Yahav I. The Forest or the Trees? Tackling Simpson’s Paradox with Classification \& Regression Trees