GradNova

Data Stream Mining Techniques

36 faculty research Data Stream Mining Techniques on GradNova.

K

Professor

School of Mechanical, Industrial, and Manufacturing Engineering

Oregon State University

Artificial Intelligence and Robotics

Reinforcement Learning in Robotics

Auction Theory and Applications

+3

S

Walter W. Wilson Faculty Fellow in Engineering and Professor

Department of Mechanical Engineering

Iowa State University

Advanced Bandit Algorithms Research

Data Stream Mining Techniques

Reinforcement Learning in Robotics

T

Thomas W. Gyeera, Ph.D.

Assistant Professor | Computer Science

Computer Science

Virginia Commonwealth University

Machine Learning

Network Engineering

Cloud Computing and Resource Management

+4

R

Clinical Associate Professor

Computer Science

University of North Texas

Data Mining Algorithms and Applications

Data Stream Mining Techniques

Imbalanced Data Classification Techniques

Rough Sets and Fuzzy Logic

+1

T

Tingjian Ge, Ph.D.

Professor, Graduate Coordinator for MS Programs

Computer Science

University of Massachusetts Lowell

Artificial Intelligence (a.i.)

Database Systems

Data Management and Algorithms

+4

M

Mohammad Hajiesmaili

Associate Professor

Computer Science

University of Massachusetts Amherst

Theoretical Computer Science

Auction Theory and Applications

Advanced Bandit Algorithms Research

Data Stream Mining Techniques

Y

Assistant Professor

Computer Science

University of Illinois Urbana-Champaign

Advanced Database Systems and Queries

Data Management and Algorithms

Data Stream Mining Techniques

Parallel Computing and Optimization Techniques

+1

M

Marlos C. Machado

Faculty

Computer Science

University of Alberta

Advanced Bandit Algorithms Research

Adversarial Robustness in Machine Learning

Artificial Intelligence in Games

Data Stream Mining Techniques

+1

S

Assistant Research Professor

Department of Electrical and Computer Engineering

Missouri University of Science and Technology

Adaptive Resonance Theory (art) Neural Network Algorithms, Deep Learning, Clustering, Cluster Validity Metrics, and Multi-Modal

Adaptive Resonance Theory (art) Neural Network Algorithms

Cluster Validity Metrics

+7

P

Panagiotis Traganitis

Assistant Professor

Department of Electrical and Computer Engineering

Michigan State University

Advanced Clustering Algorithms Research

Anomaly Detection Techniques and Applications

Complex Network Analysis Techniques

Data Stream Mining Techniques

+1

T

Professor

Massachusetts Institute of Technology

Advanced Data Storage Technologies

Advanced Database Systems and Queries

Cloud Computing and Resource Management

Data Management and Algorithms

+1

D

Professor

Massachusetts Institute of Technology

Auction Theory and Applications

Data Stream Mining Techniques

Evacuation and Crowd Dynamics

Mobile Crowdsensing and Crowdsourcing

+1

C

Associate Teaching Professor

Computer Science

Worcester Polytechnic Institute

Advanced Database Systems and Queries

Data Management and Algorithms

Data Stream Mining Techniques

Robotic Path Planning Algorithms

+1

A

Assistant Professor

Computer Science

Wichita State University

Complex Network Analysis Techniques

Data Stream Mining Techniques

Metaheuristic Optimization Algorithms Research

Multi-Agent Systems and Negotiation

+1

S

Assistant Teaching Professor

Computer Science

Wichita State University

Data Stream Mining Techniques

Evolutionary Algorithms and Applications

Face and Expression Recognition

Neural Networks and Applications

+1

C

Associate Professor

Computer Science

Washington University in St. Louis

Adaptive Dynamic Programming Control

Advanced Bandit Algorithms Research

Data Stream Mining Techniques

Domain Adaptation and Few-Shot Learning

+1

Y

Assistant professor, Newman Library; assistant director, Center for Digital Research and Scholarship; assistant professor by affiliation, Department of Computer Science

Computer Science

Cloud Computing and Resource Management

Data Stream Mining Techniques

Research Data Management Practices

Scientific Computing and Data Management

+1

A

Associate Professor

Computer Science

Data Stream Mining Techniques

Evolutionary Algorithms and Applications

Machine Learning and Data Classification

Metaheuristic Optimization Algorithms Research

+1

F

Fatemeh Nargesian

Associate Professor of Computer Science

Computer Science

University of Rochester

Data Discovery and Integration

Data Management

Data Quality and Management

+4

E

Assistant Professor

Computer Science

University of Oklahoma

Machine Learning

Outlier/anomaly Detection and Explanation

Real Time Data Stream Processing and Analysis

+5

S

Professor, EECS – Computer Science and Engineering; CSE Senior Associate Chair for Academic Affairs

Computer Science and Engineering

University of Michigan

Data Structures

Optimization Algorithms

+6

B

Barzan Mozafari

Associate Professor, EECS – Computer Science and Engineering

Computer Science and Engineering

University of Michigan

Database-As-A-Service Clouds

Distributed Systems

Large-Scale Data-Intensive Systems

+5

H

Lecturer III, EECS – Computer Science and Engineering

Computer Science and Engineering

University of Michigan

Data Stream Mining Techniques

Data Visualization and Analytics

Gaussian Processes and Bayesian Inference

Machine Learning and Algorithms

+1

C

Professor

Computer Science

University of Manitoba

Complex Network Analysis Techniques

Data Management and Algorithms

Data Mining Algorithms and Applications

Data Stream Mining Techniques

+1