Paul Fortier is Professor of Electrical and Computer Engineering at the University of Massachusetts at Dartmouth and the author of numerous books on computer engineering.
Howard Michel is Assistant Professor of Electrical and Computer Engineering at the University of Massachusetts at Dartmouth.
Centrality Metrics for Complex Network Analysis: Emerging Research and Opportunities is a pivotal reference source for the latest research findings on centrality metrics and their broader applications for different categories of networks including wireless sensor networks, curriculum networks, social networks etc. Featuring extensive coverage on relevant areas, such as complex network graphs, node centrality metrics, and mobile sensor networks, this publication is an ideal resource for students, faculty, industry practitioners, and business professionals interested in theoretical concepts and current developments in network domains.
The problem with the reference books is that they are too descriptive for last moment studies. Whereas the problem with local publications is that they are inaccurate as compared to the reference books.
This particular book encapsulates the subject notes on Data Mining & Business Intelligence with the combined benefits of reference books & local publications. It has the accuracy of a reference book as well as the abstraction of a local publication.
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This book presents the content in the form of question & answers, with utmost simplicity of language, and in an abstract manner so that it can be used for last moment studies. This book can be used by:
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Ø Individuals willing to have a basic understanding of the domain: Data Mining & Business Intelligence.
Prolific hacker and author Simon Monk also teaches basic principles to help you use new technologies with Raspberry Pi as its ecosystem continues to develop. This cookbook is ideal for programmers and hobbyists familiar with the Pi through resources, including Getting Started with Raspberry Pi (O’Reilly). Python and other code examples from the book are available on GitHub.Set up your Raspberry Pi and connect to a networkWork with its Linux-based operating systemProgram Raspberry Pi with PythonGive your Pi "eyes" with computer visionControl hardware through the GPIO connectorUse Raspberry Pi to run different types of motorsWork with switches, keypads, and other digital inputsUse sensors to measure temperature, light, and distanceConnect to IoT devices in various waysCreate dynamic projects with Arduino
With the post-PC era now upon us, Computer Organization and Design moves forward to explore this generational change with examples, exercises, and material highlighting the emergence of mobile computing and the Cloud. Updated content featuring tablet computers, Cloud infrastructure, and the x86 (cloud computing) and ARM (mobile computing devices) architectures is included.
An online companion Web site provides advanced content for further study, appendices, glossary, references, and recommended reading.Features RISC-V, the first such architecture designed to be used in modern computing environments, such as cloud computing, mobile devices, and other embedded systemsIncludes relevant examples, exercises, and material highlighting the emergence of mobile computing and the cloud