Text Graph Mining Algorithms Professors in Global

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Abraham Bernstein
University of Zurich Switzerland
graph mining
large graph data sets
data mining
time series mining
data mining process
machine learning
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Aijun Author
York University Canada
data stream mining
data mining
pattern mining
graphs
machine learning
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Marc Renault
University of Wisconsin United States of America
search algorithms
online algorithms
analysis of algorithms
approximation algorithms
streaming algorithms
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Danai Koutra
University of Michigan United States of America
graph mining
graph machine learning
graph neural networks
data mining
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Evangelos Milios
Dalhousie University Canada
text mining
graph mining
visual text analytics
mining
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Stan Matwin
Dalhousie University Canada
text mining
text analytics
data mining
machine learning
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Osmar Zaiane
University of Alberta Canada
text mining
web mining
data mining
machine learning
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Osmar Zaiane
University of Alberta Canada
text mining
web mining
data mining
machine learning
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Debarati Das
Pennsylvania State University United States of America
graph algorithms
string algorithms
approximation algorithms
clustering algorithms
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Aaron Bernstein
New York University Tandon School of Engineering United States of America
graph algorithms
approximation algorithms
sublinear algorithms
dynamic algorithms
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Graham Farr
Monash University Australia
graph algorithms
graph theory
algorithms
enumeration algorithm
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Nicole Wein
University of Michigan United States of America
graph algorithms
online algorithms
distance-estimation algorithms
dynamic algorithms
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Ivan Kryven
Utrecht University Netherlands
graph theory
random graph representation
random approximation algorithms
randomized algorithms
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Vida Dujmovic
University of Ottawa Canada
graph theory
geometric graph theory
algorithms
structural graph theory
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Thomas Nielsen
Aalborg University Denmark
data mining
decision graphs
probabilistic graphical models
machine learning
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Goran Nenadic
University of Manchester United Kingdom
text mining
clinical text mining
biomedical text mining
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J.c. Scholtes
Maastricht University Netherlands
text mining
text analytics
machine learning
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Danupon Na Nongkai
KTH Royal Institute of Technology Sweden
graph algorithms
data stream algorithms
approximation algorithms
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Shahin Kamali
York University Canada
graph algorithms
graph partitioning
analysis of algorithms
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Elvin Isufi
Delft University of Technology Netherlands
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graph machine learning
graph neural networks
graph signal processing
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Nick Wormald
Monash University Australia
combinatorial graph algorithms
random graphs
graph theory
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