Large Graph Data Sets Professors in Global

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Thomas Nielsen
Aalborg University Denmark
decision graphs
probabilistic graphical models
data mining
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Vida Dujmovic
University of Ottawa Canada
graph theory
geometric graph theory
structural graph theory
data structures
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Yiyu Yao
University of Regina Canada
data analytics
data analysis
data mining
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Pankaj Agarwal
Duke University Singapore
geometric data analysis
data structures
data mining
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Nick Yakovets
Eindhoven University of Technology Belgium
graph data management
data analytics
data-intensive systems
high-performance data processing
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Christian Schulz
Heidelberg University Germany
scalable graph algorithms
graph partitioning
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Lingzhou Xue
Pennsylvania State University United States of America
graphical models
high-dimensional data
large-scale optimization
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Xuan Doan
Warwick Business School United Kingdom
large-scale applications
data mining
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Dianne Cook
Monash University Australia
statistical graphics
high-dimensional data
data mining
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Nanwei Wang
University of New Brunswick Canada
graphical models
high-dimensional data
large deviations theory
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Duen Chau
Georgia Institute of Technology United States of America
graph visualization
data mining
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Shahin Kamali
University of Manitoba Canada
graph partitioning
big data applications
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Shahin Kamali
York University Canada
graph algorithms
graph partitioning
big data applications
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Sepehr Assadi
University of Waterloo Canada
massive datasets
big data analysis
algorithmic graph theory
massively parallel computation
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Shirley Mills
Carleton University Canada
high dimensional data
data mining
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Wenjie Zhang
University of New South Wales Australia
large-scale data management
complex data processing
data analytics
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Houra Mahmoudzadeh
University of Waterloo Canada
large-scale optimization
data analytics
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Yaren Kaya
Columbia University United States of America
large-scale optimization
data analytics
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Samir Elhedhli
University of Waterloo Canada
large-scale optimization
data analytics
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Kaizheng Wang
Columbia University United States of America
large-scale optimization
data analytics
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Melba Crawford
Purdue University United States of America
high dimensional data analysis
data mining
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