Alex Zolot (Zolotovitski), PhD
Areas of Interests
- Applied numerical analysis: probability, stochastic processes, optimization, partial differential equations, actuarial calculations, risk measurement and modeling;
- Data mining including supervised and unsupervised machine learning, prediction/classification, clustering, time series analysis, longitudinal and survival analysis, DOE, visualization for marketing/ CRM/ database marketing/ fraud/ reliability problems.
- Econometrics, financial and business analysis;
TBP, Predictive Modeling for Mobile Offer Targeting, with Neal Oman anf Xing Fu (Joint Statistical Meetings 2014, Boston)
TBP, Handling Large R Projects (Wiley, 2015)
R Work Journal (pdf) (UseR!
2014 , Los Angeles)
Tutorial: How to work with large R projects, (pdf) (files) (demo) (R-3.0.1 + Eclipse-K + StatET + tutorial portable package for Win-x64) (UseR! 2013, Albacete, Spain)
Large-Scale Predictive Modeling with R and Apache Hive: from Modeling to Production, with Yakov Keselman. (UseR! 2013, Albacete, Spain)
On Recovering Structure of Affect, with Mary Czerwinski, Ashish Kapoor, Affective Computing and Intelligent Interaction (ACII 2013), Geneva, Switzerland, pdf
Simulation and Modeling of Churn and Customer Lifetime Value in Mobile Applications, with Yakov Keselman (Joint Statistical Meetings 2013, Montreal) pdf.
Detecting Bad Behavior in Web Advertising Networks, with Dennis Minium and Jigar Mody (invited, Joint Statistical Meetings 2012, San Diego)
Points to Consider in Defining Region for a Multiregional Clinical Trial, with Yoko Tanaka et al. (Drug Information Journal, 2011 45: 575-585).
Usage of Distribution Extents in Predictive Modeling (Joint Statistical Meetings 2011, Miami Beach)
Definition of Region for Clinical Trials. Mathematical Optimization Approach (Drug Information Association, Multiregional Clinical Trials conference, Bethesda, MD, 2010, with Yoko Tanaka).
Modeling Variability in Blood Glucose Data Collected in Continuous Monitoring Using ARIMA and Hierarchical Bayesian MCMC / GLMM Models (Joint Statistical Meetings 2010, Vancouver, Canada).
Tutorial: Work with R on Amazon's Cloud (UseR! 2010, NIST, Gaithersburg, Maryland, USA).
Generalized Linear Mixed Model with Spatial Covariates (UseR! 2010, NIST, Gaithersburg, Maryland, USA).
Working with SAS on a Remote UNIX Server from a Local Windows Client (WUSS 2009, San Jose).
Usage Number of Pages Found by Search Engines for Business Analytics .pdf .ppt . International Conference on Internet Computing (ICOMP'09), Las Vegas, 2009, with Richard Castro.
Dashboard for Statistical Visualization of Client Service Events .pdf .ppt . International Conference on Modeling, Simulation and Visualization Methods (MSV'09), Las Vegas, 2009.
Statistical Visualization of Client Service Events. IEEE Symposium Series on Computational Intelligence (SSCI), Nashville, 2009.
Combined Line - Double Bubbles - Pie chart. WUSS 2008, Universal City. SANDS 2009, San Diego.
Weekday Dependence in Reliability Analysis of Repairable Systems, Joint Statistical Meetings, Denver, 2008, with David Trindade.
Automated Trade Area Analysis, Workshop on Data Mining Methodology and Applications, Toronto, 2004.