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   Designing with the mind in mind: simple guide to understanding user interface design guidelines (3rd ed.)
Johnson J.,  Morgan Kaufmann, Cambridge, MA, 2021. 290 pp. Type: Book (978-0-128182-02-4)

This thoroughly engaging book offers explicit advice for the construction of user interfaces without involving one specification, development platform, or line of code. This is the third edition, but this review offers no comparison as I have not ...

1  
   Financial regulatory and risk management challenges stemming from firm-specific digital misinformation
Casey K., Casey K.  Journal of Data and Information Quality 11(1): 1-4, 2019. Type: Article

In today’s digital economy, it is easy to alter the essence of information with regards to both context and value; thus, the potential for misinformation is huge. With this paper, Casey and Casey excellently present a new risk management app...

2  
  Web portals for high-performance computing: a survey
Calegari P., Levrier M., Balczyski P.  ACM Transactions on the Web 13(1): 1-36, 2019. Type: Article

High-performance computing (HPC) offers researchers the performance they need to solve complex problems. However, as these researchers are specialized in areas not related to HPC, web interfaces facilitate the submission of their jobs to HPC syste...

3  
  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...

4  
  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...

5  
  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...

6  
  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 ...

7  
  Mechanistic explanations in physics and beyond
Falkenburg B., Schiemann G.,  Springer International Publishing, New York, NY, 2019. 220 pp. Type: Book (978-3-030107-06-2)

This book provides an overview of the mechanistic approach to science from historical, philosophical, computational, and other viewpoints. This approach arises from the fact that, in real life, most objects remain the same (at least locally)...

8  
   Inclusive design for a digital world: designing with accessibility in mind
Gilbert R.,  Apress, New York, NY, 2019. 272 pp. Type: Book (978-1-484250-15-0)

Having taught courses in user-centered design (UCD) and human-computer interaction (HCI) for over 20 years, I am familiar with both the history of the field and the methods and tools currently in use. On several occasions, I’ve also had the ...

9  
  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...

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