Alan D. Olinsky

Alan D. Olinsky

Professor, Mathematics and Information Systems and Analytics, B.S., M.S. Hofstra University; Ph.D. University of Rhode Island.

Ph D, University of Rhode Island

MS, Hofstra University

BBA, Hofstra University

Kennedy, K.,Salzillo, M.,Olinsky, A., Honing a Predictive Model to Accurately Forecast the Number of Bed Days Needed to Cover Patient Volume for a Large Hospital System, Emerald Group Publishing, 2016.

Schumacher, P.,Quinn, J.,Olinsky, A., An Expanded Assessment of Data Mining Approaches for Analyzing Actuarial Student Success Rate, International Journal of Business Analytics (IGI Global), 2016.

Bonas, M.,Nguyen, S.,Olinsky, A.,Quinn, J.,Schumacher, P., A Method to Determine the Size of the Resampled Data in Imbalanced Classification, Information Age Publishing.

Hebert, D.,Olinsky, A.,Hardin, J.,Anderson, B., Time Series Data Mining: A Retail Application, Internation Journal of Business Analytics.

Nguyen, S.,Lamere, A. T.,Olinsky, A.,Quinn, J., The Effects of Sampling Methods on Machine Learning Models for Predicting Long-term Length of Stay: A Case Study of Rhode Island Hospitals, International Journal of Rough Sets and Data Analysis (IJRSDA)/IGI Publishing.

Nguyen, S.,Quinn, J.,Olinsky, A.,Schumacher, P., Effects of resampling techniques on imbalanced data classification: A new under-resampling method, International Journal of Data Analysis Techniques and Strategies / Inderscience Publishers.

Salzillo, M.,Olinsky, A.,Del Sesto, D.,Kennedy, K., Analyzing the Effluent for a Municipal Water Supplier: a Comparison of the Periodicity of the Time Series Forecasting Techniques, Franklin Business and Law Journal.

Nguyen, S.,Niu, G.,Quinn, J.,Olinsky, A.,Ormsbee, J.,Smith, R.,Bishop, J.,, ., Detecting non-injured passengers and drivers in car accident: A new under-resampling method for imbalanced classification, Emerald Group Publishing, 2019.

Nguyen, S.,Olinsky, A.,Quinn, J.,Schumacher, P., Predictive Modeling for Imbalanced Big Data in SAS Enterprise Miner and R, International Journal of Fog Computing (IJFC)/IGI Publishing, 2018.

Nguyen, S.,Quinn, J.,Olinsky, A., An oversampling technique for classifying imbalanced datasets, Emerald Group Publishing Limited, 2018.

Olinsky, A.,Quinn, J.,Schumacher, P., Visualization of Predictive Modeling for Big Data using Various Approaches when there are Rare Events at Differing Levels, IGI Global, 2018.

Quinn, C.,Quinn, M.,Olinsky, A.,Quinn, J., Issues and Methods for Access, Storage, and Analysis of Data from Online Social Communities., IGI Global, 2018.

Glass, R.,, Y. Z.,Olinsky, A., An Application of Benford’s Law to Detect Data Misrepresentation in Mutual Fund Reporting, Academy of Business Research Journal , 2017.

Quinn, C. J.,Quinn, M. J.,Olinsky, A.,Quinn, J., How Information Spreads in Online Social Networks, Emerald Group Publishing, 2016.

Quinn, J.,Schumacher, P.,Olinsky, A., Medicare Charges and Payments: Data Analysis, Benford’s Law and Imputation of Missing Data, Case Studies in Business, Industry, and Government Statistics (CSBIGS) , 2016.

Quinn, J.,Olinsky, A.,Schumacher, P.,Smith, R., Cluster Analysis and Persistence in College Majors, Journal of Applied Research in Higher Education, Emerald Group Publishing, 2015.

Kennedy, K.,Salzillo, M.,Olinsky, A., Analyzing The Timely Partitioning Of Effluent Data To Compare The Effiency Of Predictive Models For Seasonal Differences, Franklin Business & Law Review Journal, 2014.

Quinn, J.,Schumacher, P.,Olinsky, A., BENFORD’S LAW AND IMPUTATION OF MISSING DATA, NEDSI 2014, 2014.

Schumacher, P.,Olinsky, A.,Anderson, B., Implementing the SAS Joint Data Mining Certificate at Bryant University, Journal of Statistical Science and Application, 2014.

Kennedy, K.,Salzillo, M.,Olinsky, A.,Quinn, J., Forecasting Patient Volume for a Large Hospital System: A Comparison of the Periodicity of Time Series Data and Forecasting Approaches., Emerald Group Publishing Limited, 2013.

Olinsky, A.,Schumacher, P.,Quinn, J., Assessing Data Mining Approaches for Analyzing Actuarial Student Success Rate, Refereed Book Chapter reprinted in new volume/publication, 2013.

Salzillo, M.,Olinsky, A.,Del Sesto, D.,, .,, .,, .,Kennedy, K., Forcasting the Amount of Effluent For a Large Municipal Water Supplier, Michael Salzillo, 2013.

Schumacher, P.,Olinsky, A.,Anderson, B., SAS Joint Data Mining Certification at Bryant University, Northeast Decision Sciences Institute 2013 Annual Meetings Proceedings, 2013.

Kennedy, K.,Kennedy, B.,Olinsky, A., Assessing Gradient Boosting in the Reduction of Misclassification Error in the Prediction of Success of Actuarial Majors, Case Studies in Business, Industry, and Government Statistics (CSBIGS), 2012.

Olinsky, A.,Schumacher, P.,Quinn, J., The Importance of Teaching Power in Statistical Hypothesis Testing, International Journal for Mathematics Teaching and Learning, 2012.

Salzillo, M.,Kennedy, K.,Olinsky, A., The Challenges of Real World Analytics: A Case Study for the Classroom, Franklin Business and Law Journal, 2012.

Schumacher, P.,Olinsky, A., Data Mining for Health Care Professionals: MBA Course Projects Resulting in Hospital Improvements, IGI Global, 2012.

Schumacher, P.,Olinsky, A., Data Mining for Health Care Professionals: MBA Course Projects Resulting in Hospital Improvements, IGI Global , 2010.

Mirmirani, S.,Olinsky, A.,Pehlivanis, N.,Li, H., Analysis of Gold Price Movement Using Neural Networks, Business and Economics for the 21th Century, 1998.

Distinguished Faculty Award, 2017

SAS Distinguished Professor Award, 2015

Faculty Mentor Award, 2013

Chapter Recognition Award, 2009

Faculty Member Award in Recognition of Dedication to Scholarship, Love of Teaching, and Commitment, 2007

Finalist for 2007 Montie Award for Most Unusual Application of Monte Carlo Simulation Techniques, 2007

Distinguished Faculty Award, 1988

Statistics, Data Mining, Applied Analytics, SAS Programming

Spreadsheet Modeling, Genetic Algorithms, Data Mining, Computer Intensive Methods, Multivariate Statistics

American Statistical Association,

Northeast Decision Sciences Institute

Boston Chapter American Statistical Association

Kappa Mu Epsilon

Mu Sigma Rho

Rhode Island Chapter American Statistical Association