The Big Data Analytics & Data Mining Program focuses on developing methods for understanding large data sets, including data clustering (grouping similar objects) and association rule mining (discovering regularities). The Program provides expertise in non‐statistical data analysis to researchers across disciplines that require assistance in large-scale data analysis.
The Program Director is Dr. Mitsunori Ogihara. Dr. Ogihara is also a Professor in the Department of Computer Science, the Associate Dean for Digital Library Innovation, and the author of The Complexity Theory Companion, and Music Data Mining.
For assistance with any resources and/or services available, please email CCS-Big Data Analytics & Data Mining.
Big Data Mining & Data AnalyticsTeam