data mining Experts
Robert J. Mattauch Endowed Professor and Vice Chair of Computer Science · VCU College of Engineering
Data scientist specializing in high-throughput structural bioinformatics of proteins & small RNAs.
Professor, Mathematical Sciences and Computer Science & Associate Director, Institute for Data Exploration and Application (IDEA) · Rensselaer Polytechnic Institute
Extracts information from data using novel predictive or descriptive mathematical models
Professor · VCU College of Engineering
Professor Manic conducts research in the areas of machine learning, software defined networks and human-machine interfaces.
Computational Intelligence Techniques (Machine Learning) with Applications in Energy Cybersecurity and Human Machine Interfaces Software Defined Networks Fuzzy Neural Data Mining Techniques Energy Security Human-machine Interfaces
Assistant Professor · VCU College of Engineering
Dr. Krawczyk's areas of research are machine learning, data stream mining, and big data.
Machine learning: ensembles, imbalanced data, one-class classification, kernel methods. Data stream mining: concept drift, active learning, online classification and regression. Big data: mining massive datasets, efficient and scalable learning algorithms
Associate Professor · Indiana University, Kelley School of Business
Professor Zhang focuses on personalization and recommender systems, business intelligence, and knowledge discovery and data mining
Professor of Political Science | Department of Social Sciences · Augusta University
Murray's research focuses on political behavior and psychology with specific interests in voter mobilization during the COVID-19 pandemic.
Chief Executive Officer · Polygraph Media
Experienced speaker and best selling author with experience & success speaking to large groups of small businesses & Fortune 500 clients.
Professor, University of Connecticut; Senior Research Fellow, US Census Bureau · University of Connecticut
Extensive research consulting experience with Fortune 100 and US govt on “Big Data” driven decision making in IT and operations.