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Denilson Barbosa
University of Alberta
Edmonton, Canada
 

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.”


     

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 actually the author’s ...

 

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 covers many ...

 

 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 class label...

 

A semantic web primer (3rd ed.)
Antoniou G., Groth P., van Harmelen F., Hoekstra R.,  The MIT Press, Cambridge, MA, 2012. 296 pp. Type: Book (978-0-262018-28-9), Reviews: (2 of 2)

The semantic web is one of the largest recent endeavors in computing science. It promises a much better future where computer agents can help humans harness the knowledge and resources available online. Some argue that this is yet another doomed e...

 

Federated search
Shokouhi M., Si L.  Foundations and Trends in Information Retrieval 5(1): 1-102, 2011. Type: Article

Federated search is a mode of information retrieval where the system answers queries over independent document collections without using a centralized index. The process consists of selecting information sources that contain relevant information f...

 
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