Top Data Mining Experts
Search thousands of experts from around the world.
Associate Professor, Faculty of Engineering and Applied Science · University of Ontario Institute of Technology
Leading social media research analytics to predict trends in behaviour for safer communities
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 · VCU College of Engineering
Dr. Milos 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
Professor of Political Science | Department of Social Sciences · Augusta University
Dr. Gregg Murray's research focuses on political behavior and psychology with specific interests in voter mobilization and turnout.
Assistant Professor · VCU College of Engineering
Dr. Krawczyk's areas of research are machine learning, data stream mining, medical informatics, big data, and computer vision.
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 Medical informatics: clinical decision support, mining ubiquitous environments, activity recognition. Computer vision: deep learning, object detection, tensor methods, underwater image analysis.
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
Assistant Professor, Faculty of Science · University of Ontario Institute of Technology
Award-winning big data analytics expert examines big data cleaning to improve accuracy of predictors and trends