Computing Reviews
Today's Issue Hot Topics Search Browse Recommended My Account Log In
Best of 2016 Recommended by Editor Recommended by Reviewer Recommended by Reader
Search


These reviews have been chosen by the editors to be highlighted.
Options:
Year:
1-10 of 41 results Date
Essential logic for computer science
Page R., Gamboa R.,  The MIT Press, Cambridge, MA, 2018. 304 pp. Type: Book (978-0-262039-18-5)

The “for computer science” part of this excellent book’s title initially gave me pause, as it connoted for me a possible compromise of the “logic” part. As a matter of fact, the very opposite is the case here. The boo...

Oct 19 2020
Game theory, the Internet of Things and 5G networks: utilizing game theoretic models to characterize challenging scenarios
Antoniou J.,  Springer International Publishing, New York, NY, 2020. 110 pp. Type: Book (978-3-030168-43-8)

Sustained by the much-improved capabilities of 5G technology, the new Internet of Things (IoT) applications will benefit from an increased number of interconnected sensors and devices, as well as from a significantly larger data transfer, improved...

Oct 12 2020
Data-intensive workflow management: for clouds and data-intensive and scalable computing environments
de Oliveira D., Liu J., Pacitti E.,  Morgan&Claypool Publishers, San Rafael, CA, 2019. 180 pp. Type: Book (978-1-681735-57-3)

Data-intensive workflows turn up in scientific domains where the most current information technologies find application areas. The “differentia specifica” between business and scientific workflows is the importance of provenance data r...

Oct 5 2020
Fundamentals of image data mining: analysis, features, classification and retrieval
Zhang D.,  Springer International Publishing, New York, NY, 2019. 314 pp. Type: Book (978-3-030179-88-5)

Data mining is “the science of extracting useful knowledge from huge data repositories” [1]. Extending this definition, it can be concluded that image data mining is the science of extracting valuable knowledge from large volumes of im...

Sep 28 2020
Embedded EthiCS: integrating ethics across CS education
Grosz B., Grant D., Vredenburgh K., Behrends J., Hu L., Simmons A., Waldo J.  Communications of the ACM 62(8): 54-61, 2019. Type: Article

Motivated by a plethora of exemplary “intelligent” information enterprises, this article presents results related to Embedded EthiCS, “a Harvard-based pilot program [that] integrates class sessions on ethical reasoning into cours...

Sep 21 2020
Taming uncertainty
Hertwig R., Pleskac T., Pachur T., Center for Adaptive Rationality .,  The MIT Press, Cambridge, MA, 2019. 488 pp. Type: Book (978-0-262039-87-1), Reviews: (2 of 2)

Humans are not the rational optimizers posited by classical economics or the axiomatic game theory of von Neumann and Morgenstern. Since 2012, the Center for Adaptive Rationality at the Max Planck Institute for Human Development in Berlin has been...

Sep 14 2020
Understand, manage, and prevent algorithmic bias: a guide for business users and data scientists
Baer T.,  Apress, New York, NY, 2019. 260 pp. Type: Book (978-1-484248-84-3)

This is one of the most enlightening books about the hidden risks of applying machine learning techniques, and particularly algorithms, in decision making. The book unveils the many potential sources of algorithmic bias, raising serious questions ...

Sep 8 2020
Data architecture: a primer for the data scientist (2nd ed.)
Inmon W., Linstedt D., Levins M.,  Academic Press, Inc., San Diego, CA, 2019. 431 pp. Type: Book (978-0-128169-16-2)

Showing a perceptible pattern as a line-edited transcript consolidated from one or more slide-based seminars, this book provides many illustrations that would otherwise have been the focus of a presenter’s lecture and interactive session. Ho...

Aug 31 2020
Transportation systems: managing performance through advanced maintenance engineering
Singh S., Martinetti A., Majumdar A., van Dongen L.,  Springer International Publishing, New York, NY, 2019. 221 pp. Type: Book

This review is being written in the midst of the most terrible calamity that anyone can remember. It is ironic that this magnificent contribution is edited by four giants of transportation literature who are also from four lands deeply affected by...

Aug 24 2020
The effects of mixing machine learning and human judgment
Vaccaro M., Waldo J.  Communications of the ACM 62(11): 104-110, 2019. Type: Article

Automated risk assessment systems are often used in situations that require human judgment. One motivation for doing this is to remove human bias. Even when the automated system has been shown to be more accurate than human assessments, a team com...

Aug 17 2020
 
Display per page
 
Send Your Comments
Contact Us
Reproduction in whole or in part without permission is prohibited.   Copyright © 2000-2020 ThinkLoud, Inc.
Terms of Use
| Privacy Policy