Submissions from 2013
2013 Big Data Conference Program, Big Data Conference
Applications of High Performance Statistical Computing, Daniel Hodges
Big Data: Academic Achievement; Big Data: Fitness; Big Data: SES in School Aged Children, Mary Schutten
Breakdowns in Common Statistical and Graphical Techniques for Big Data, John Gabrosek
Can “Big Data” Tell the Whole Story about Teacher Quality?, Laura Kapitula
Capabilities of the Statistics Department Analytics Server, David Zeitler
Charting Procedures for Monitoring Michigan Geospatial Data, Paul Stephenson
Curricular Initiative Regarding a Minor in Data Science, Paul Leidig, Paul Stephenson, Jonathan Leidig, Jerry Scripps, Guenter Tusch, and David Zeitler
Data Management Planning for the “Lone Wolf” Researcher, Max Eckard
Data-mining for Computational Public Health Research, Greg Wolffe
Educating the World through Data, GVSU Web Team
Examining Disparities in Food Access and Enhancing the Food Security of Underserved Populations in Michigan (FAiM), Debbie Lown
In Praise of Forgetfulness: Machine Learning for All, Jerry Scripps
Issues and Challenges: The Various V’s of Big Data, Carlos Rodríguez
Predicting Survival Probability Based on Gene Expression Levels, Daniel Frobish
Quantitative and Qualitative Analysis of the myGVSU (Climate Study) Survey, Neal Rogness
Reflections on Lake Michigan Wind: A Study of Motion Compensated Laser Pulse Technology Using a Mobile Buoy Platform, Dave Zeitler, Mehmet Sozen, and Charlie Standridge
Simulations of Antibiotic Resistance: Mining the Trajectory Data, Agnieszka Szarecka
Students with Disabilities: Promoting Academic Success, Andy Baalerud
Thinking Long-Term: The Research Data Life Cycle beyond Data Collection, Analysis and Publishing, Carlos Rodríguez and Max Eckard
Very Large Digital Libraries, Jonathan Leidig
What’s Behind the Curtain? The Infrastructure Supporting Big Data, Greg Wolffe
