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Barbosa, Denilson
University of Alberta
Edmonton, Canada
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Denilson Barbosa is an associate professor and the director of the science internship program in the Department of Computing Science, University of Alberta. He received a PhD from the University of Toronto (2005), working on web data management; since then, he has worked on databases, the web, information retrieval, and natural language processing, with emphasis on information extraction from semi-structured and unstructured data. He has co-authored dozens of articles in prestigious conference proceedings and journals, as well as a book, Perspectives on Business Intelligence (Morgan & Claypool Publishers, 2013).

Since 2015, he has served as associate editor of IEEE Transactions on Knowledge and Data Engineering. He has served as a program committee member for the top database and web conferences on several occasions, and as program co-chair of the 2015 Canadian AI Conference, the 1st and 2nd ACM SIGMOD Workshop on Databases and Social Networks (co-located with SIGMOD 2011 and 2012), the 3rd International Workshop on Data Engineering Meets the Semantic Web (co-located with ICDE 2012), and the 5th International XML Database Symposium (co-located with VLDB 2007). He also served as an associate editor of SIGMOD Record from 2010 to 2014 and as the ACM SIGMOD Information Director and Web Editor of the Record from 2006 to 2012. He was a principal investigator and the leader of the data quality theme of the NSERC Business Intelligence Network.

He is the recipient an Alberta Ingenuity New Faculty Award, an IBM Faculty Award, and the Best Paper Award at the 2010 IEEE Conference on Data Engineering. In addition, he supervised the recipients of the Best Undergraduate Poster Award at the 2012 ACM SIGMOD Conference. He was a visiting scientist at the Max-Planck Institute for Informatics, Germany from July 2014 to April 2015, and a visiting professor (BIT) at the Free University of Bozen-Bolzano, Italy, during the summer of 2008. His review of A Semantic Web Primer (3rd ed.) by Antoniou et al. (MIT Press, 2012) for ACM Computing Reviews was selected as one of the “Best of 2013.”

Date Reviewed  
- 10 of 12 reviews

   Sentiment analysis: mining opinions, sentiments, and emotions (2nd ed.)
Liu B., Cambridge University Press, Cambridge, UK, 2020. 448 pp.  Type: Book (978-1-108486-37-8)

Mining sentiment and opinions from human-generated reviews is certainly one of the most visible applications of natural language processing ever. It is hard to imagine a successful customer-facing business today that does not care a gr...

Oct 12 2021  
   The discrete charm of the machine: why the world became digital
Steiglitz K., PRINCETON UNIVERSITY PRESS, Princeton, NJ, 2019. 256 pp.  Type: Book (978-0-691179-43-8)

Digital computers have found their way into every aspect of modern life. They are now essential for work and ubiquitous in leisure, and used from childhood to retirement age, through every stage of adult life. Although the number of di...

May 10 2019  
   Cloud computing for science and engineering
Foster I., Gannon D., The MIT Press, Cambridge, MA, 2017. 392 pp.  Type: Book (978-0-262037-24-2)

Clouds have been around for some time and are often touted as expensive and complex systems meant to solve problems specific to Web companies with global reach. Foster and Gannon dispel this myth through an elegantly crafted tour of ev...

Feb 1 2018  
   The science of managing our digital stuff
Bergman O., Whittaker S., The MIT Press, Cambridge, MA, 2016. 296 pp.  Type: Book (978-0-262035-17-0)

Written by two leading experts in the field, The science of managing our digital stuff is a very well-crafted book covering a wide range of work on how people store, organize, and use personal information in digital form. The bo...

May 25 2017  
  Interactions with search systems
White R., Cambridge University Press, New York, NY, 2016.  Type: Book (9781107034228)

Web search has become so ingrained in modern life that is hard to imagine what we would do if it suddenly disappeared, say by some unforeseen catastrophe. While a large fraction of our searches are simple lookup transactions that can b...

Sep 6 2016  
   Semantic similarity from natural language and ontology analysis
Harispe S., Ranwez S., Janaqi S., Montmain J., Morgan & Claypool Publishers, San Rafael, CA, 2015. 254 pp.  Type: Book (978-1-627054-46-1)

Harispe et al. offer a coherent and most-welcome unified view of the vast literature on semantic similarity, covering both corpus-based and ontological methods. It fills a gap in the current literature and is rich with references and i...

Apr 25 2016  
  Understanding machine learning: from theory to algorithms
Shalev-Shwartz S., Ben-David S., Cambridge University Press, New York, NY, 2014. 424 pp.  Type: Book (978-1-107057-13-5)

Understanding machine learning is a most welcome breath of fresh air into the libraries of machine learning enthusiasts and students. Unlike all other previous texts, this book dives deep into the theory first, looking at founda...

Dec 30 2015  
   Advanced structured prediction
Nowozin S., Gehler P., Jancsary J., Lampert C., The MIT Press, Cambridge, MA, 2014. 456 pp.  Type: Book (978-0-262028-37-0)

Machine learning has received a lot of attention in recent years and has become common in an ever-growing list of application domains. The simplest forms of learning are concerned with algorithms that predict a single output, such as a...

Apr 17 2015  
   Text analysis with R for students of literature
Jockers M., Springer Publishing Company, Incorporated, Cham, Switzerland, 2014. 194 pp.  Type: Book (978-3-319031-63-7)

This book strikes a balance between a step-by-step guide to many text mining techniques and a more general tutorial on cleaning, preprocessing, analysis, and visualization with R. Despite its emphasis on text mining, the book actually ...

Aug 13 2014  
   Analysis and design of machine learning techniques: evolutionary solutions for regression, prediction, and control problems
Stalph P., Springer Vieweg, Wiesbaden, Germany, 2014. 188 pp.  Type: Book (978-3-658049-36-2)

It is hard to imagine a case where the saying “don’t judge a book by its cover” would be more appropriate than for Stalph’s Analysis and design of machine learning techniques. The book is ...

Jun 24 2014  
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