Items listed include publications such as complete books, chapters in books and/or books edited by Information and Analytics Department faculty. Prior to the spring of 2023, this department was known as the Computer Information Systems Department. Publications and research are from the previous and current departments and begin in 2015 and extend to the present.
Submissions from 2021
The Resampled Data in Imbalanced Classification, Matthew Bonas, Son Nguyen, Alan Olinsky, John T. Quinn, and Phyllis Schumacher
Submissions from 2019
Detecting Non-injured Passengers and Drivers in Car Accidents: A New Under-resampling Method for Imbalanced Classification, Son Nguyen, Gao Niu, John Thomas Quinn, Alan Olinsky, Jonathan Ormsbee, Richard M. Smith, and James Bishop
Submissions from 2018
Movie Analytics and the Future of Film Finance. Are Oscars and Box Office Revenue Predictable?, Christophe Bruneel, Jean-Louis Guy, Dominique Haughton, Nicolas Lemercier, Mark-David Laughlin, Kevin Mentzer, Quentin Vialle, and Chang Zhang
Visualization of Predictive Modeling for Big Data Using Various Approaches When There Are Rare Events at Differing Levels, Alan Olinsky, John Thomas Quinn, and Phyllis A. Schumacher
Issues and Methods for Access, Storage, and Analysis of Data From Online Social Communities, Christopher John Quinn, Matthew James Quinn, Alan Olinsky, and John Thomas Quinn
Submissions from 2017
An Oversampling Technique for Classifying Imbalanced Datasets, Son Nguyen, John Quinn, and Alan Olinsky
Submissions from 2015
Management Information Systems, Kenneth J. Sousa and Effy Oz
