Reviewers have found these items notable and have self-selected them for review.
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Data-driven anomaly detection with timing features for embedded systems
Lu S., Lysecky R. ACM Transactions on Design Automation of Electronic Systems 24(3): 1-27, 2019. Type: Article
The Internet of Things (IoT) continues to usher in the joys of connecting several house appliances and electronic devices via wired and wireless networks. But how should the rooted systems that support IoT provide security and privacy for online u...
Oct 20 2021
Foundations of probabilistic programming
Barthe G., Katoen J., Silva A., Cambridge University Press, Cambridge, UK, 2021. 582 pp. Type: Book (978-1-108488-51-8)
This book covers various programming languages for probabilistic programming. The languages are described using syntax, semantics, and examples. It also looks at the theories related to the semantics of probability constructs and discusses the rea...
Oct 18 2021
Technical debt in practice
Ernst N., Kazman R., Delange J., MIT Press, Boston, MA, 2021. 288 pp. Type: Book (978-0-262542-11-1)
Anyone who has worked on a software project of even moderate size or duration will know that projects tend to accumulate technical debt. However, the exigencies of software development in the real world often mean that little is done to deal with ...
Oct 14 2021
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 great deal abo...
Oct 12 2021
The type project book
French N., D’Andrade H., New Riders, San Francisco, CA, 2021. 277 pp. Type: Book (978-1-368160-45-2)
Typography is concerned with the trade of composing or framing type and printing from it. This unusual book is all about typographic projects, written by two experienced designers: Nigel French and Hugh D’Andrade. The book’s intended a...
Oct 11 2021
Mathematics of data science: a computational approach to clustering and classification
Calvetti D., Somersalo E., SIAM, Philadelphia, PA, 2020. 189 pp. Type: Book (978-1-611976-36-6)
Mathematics is the foundation of data science techniques. With the democratization of data science, almost anyone has access to easy-to-use tools and platforms to get started with data science applications. However, a serious professional or resea...
Oct 7 2021
Readings in formal epistemology: sourcebook
Boensvang H., Rendsvig R., Arl-Costa H., Hendricks V., van Benthem J., Springer International Publishing, New York, NY, 2018. 937 pp. Type: Book (978-3-319793-03-0)
The essence of formal epistemology is in developing or formulating models of knowledge using formal tools, including probability, logic, decision theory, and computations. Thus, formal epistemology explains probabilistic models of knowledge and be...
Oct 4 2021
Natural language data management and interfaces
Li Y., Rafiei D., Bonifati A., Morgan&Claypool Publishers, 2018. 156 pp. Type: Book (978-1-681734-08-8)
Natural languages make infinite use of finite means (for example, grammar and vocabulary). Humans in general have no issue understanding a language as they acquire the nuances in specific contexts and learn how to express themselves. So how is it ...
Sep 29 2021
iMapReduce: a distributed computing framework for iterative computation
Zhang Y., Gao Q., Gao L., Wang C. Journal of Grid Computing 10(1): 47-68, 2020. Type: Article
MapReduce is one of the most popular standard algorithms in distributed processing. This paper contributes to performance improvement in MapReduce, which otherwise performs low on social networking and web-based data due to iterative processing. T...
Sep 28 2021
An evaluation of the cost and performance of scientific workflows on Amazon EC2
Juve G., Deelman E., Berriman G., Berman B., Maechling P. Journal of Grid Computing 10(1): 5-21, 2020. Type: Article
Cloud computing is becoming popular for computing that requires large processing power and massive data volume. The work reported here aims to study scientific workflows on Amazon Elastic Compute Cloud (EC2). The principal goal is to study runtime...
Sep 23 2021
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