These reviews are the most popular with readers.
All Media Types
For the last:
Big data is (at least) four different problems
Mike Stonebraker. YouTube, 01:02:35, published on Jun 2, 2016, stanfordonline,
. Type: Video
This video is an hour-long talk by Michael Stonebraker on potential disruptions in the world of big data. “Wait, a minute!” you might say, “I thought big data was the disrupter. How can it be disrupted as well?” Well, it ca...
Exemplar queries: a new way of searching
Mottin D., Lissandrini M., Velegrakis Y., Palpanas T. The VLDB Journal: The International Journal on Very Large Data Bases 25(6): 741-765, 2016. Type: Article
Technological facilities for storing tremendous amounts of information pose challenging problems with respect to their effective utilization. Vast amounts of data need to be searched for matching patterns, or for some collections of keywords (trad...
SleepExplorer: a visualization tool to make sense of correlations between personal sleep data and contextual factors
Liang Z., Ploderer B., Liu W., Nagata Y., Bailey J., Kulik L., Li Y. Personal and Ubiquitous Computing 20(6): 985-1000, 2016. Type: Article
For sleep researchers, this paper is interesting for two reasons. One, the authors have contributed a useful new tool called SleepExplorer that correlates multiple contextual measurements and even introduces a new structure for organizing sleep me...
Machine learning as a service for enabling Internet of Things and People
Assem H., Xu L., Buda T., O’Sullivan D. Personal and Ubiquitous Computing 20(6): 899-914, 2016. Type: Article
The huge amount of data being produced and disseminated through Internet of Things (IoT) platforms every day generates demand for more complex computing solutions to handle data transfers between billions of devices connected to the Internet. The ...
Refactoring dynamic languages
Reia R., Menezes Leitão A. ELS 2016 (Proceedings of the 9th European Lisp Symposium, Kraków, Poland, May 9-10, 2016) 5-12, 2016. Type: Proceedings
Novice programmers might benefit from code refactoring, but refactoring tools are mostly available in development environments requiring more experience than most novices possess. This paper describes a project to augment a pedagogically appropria...
Summing it up: from one plus one to modern number theory
Ash A., Gross R., Princeton University Press, Princeton, NJ, 2016. 248 pp. Type: Book (978-0-691170-19-0)
I am not an official number theorist, like most in the target readership of this intriguing book, but I do belong to the set of “math enthusiasts of all backgrounds” for whom this book was written....
Hybrid approaches to machine translation
Costa-jussà M., Rapp R., Lambert P., Eberle K., Banchs R., Babych B., Springer International Publishing, New York, NY, 2016. 205 pp. Type: Book (978-3-319213-10-1)
Hybrid approaches to machine translation
is a book devoted to an extremely interesting and useful topic. The book presents recent research conducted by linguists and practitioners from different multidisciplinary areas in emerging computer ...
Online bagging and boosting for imbalanced data streams
Wang B., Pineau J. IEEE Transactions on Knowledge and Data Engineering 28(12): 3353-3366, 2016. Type: Article
Often in learning situations, the exceptional class that one seeks to learn forms a small proportion of the total, so that a conventional learning system that minimizes the error can easily fail to recognize the exceptional elements....
A survey on context learning
Xun G., Jia X., Gopalakrishnan V., Zhang A. IEEE Transactions on Knowledge and Data Engineering 29(1): 38-56, 2017. Type: Article
This paper provides a structured and extensive survey on context learning methods. It groups context learning methods into four categories, in order of complexity: explicit analysis, implicit analysis, neural-network-based analysis, and composite ...
Space-efficient path-reporting approximate distance oracles
Elkin M., Neiman O., Wulff-Nilsen C. Theoretical Computer Science 651(C): 1-10, 2016. Type: Article
Graph spanners are sparse subgraphs that preserve distances between nodes of the original graph to an approximation that is bounded, usually given in the form of a multiplication factor known as stretch. Such spanners have application in distance ...
Reproduction in whole or in part without permission is prohibited. Copyright © 2000-2017 ThinkLoud, Inc.