Big Data Problems Professors in Global

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Diego Kuonen
University of Geneva Switzerland
big data analytics
data collection
data management
data quality
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Tracey Lauriault
Carleton University Canada
big data
data governance
open data
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Alex Kuo
University of Victoria Canada
big data
data warehousing
data mining
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Frits Spieksma
Eindhoven University of Technology Belgium
clustering problems
scheduling problems
routing problems
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Xuewen Lu
University of Calgary Canada
big data analysis
high-dimensional data analysis
data mining
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Melba Crawford
Purdue University United States of America
multisensor problems
high dimensional data analysis
data mining
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Michael Böhlen
University of Zurich Switzerland
data management
data analysis
data warehousing
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Michael Böhlen
University of Zurich Switzerland
data management
data analysis
data warehousing
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Fei Chiang
McMaster University Canada
data management
data quality
data preparation in large language models
data cleaning
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Kristin Eschenfelder
University of Wisconsin–Madison United States of America
data management
data governance
data sharing
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Ankur Moitra
Massachusetts Institute of Technology United States of America
big data
algorithmic problems
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Sepehr Assadi
University of Waterloo Canada
big data analysis
massive datasets
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Jimmy Lin
University of Waterloo Canada
big data
large-scale distributed systems
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Heather Miller
Carnegie Mellon University United States of America
big data
data-intensive systems
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Yola Katsargyri
University of Southern California United States of America
big data
data algorithms
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Greg Ganger
Carnegie Mellon University United States of America
big data
large-scale machine learning
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Jana Giceva
Technical University of Munich Germany
big data
data management
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Aarathy Babu
University of New South Wales Australia
big data
data management
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John Paisley
Columbia University United States of America
big data
data analysis
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Neil Davis
Technical University of Denmark Denmark
big data
data analysis
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Bjarne Ersbøll
Technical University of Denmark Denmark
big data
data analysis
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