General Computing

PUBLISHED


Viewing: 1 - 10 of 154
Published:
September 24, 2014
Author(s):
John S. Conery
An Active Learning Approach to Teaching the Main Ideas in Computing Explorations in Computing: An Introduction to Computer Science and Python Programming teaches computer science students how to use programming skills to explore fundamental concepts and computational approaches to solving problems. 
Published:
August 26, 2014
Author(s):
Richard Fox
A True Textbook for an Introductory Course, System Administration Course, or a Combination Course Linux with Operating System Concepts merges conceptual operating system (OS) and Unix/Linux topics into one cohesive textbook for undergraduate students. The book can be used for a one- or 
Published:
July 14, 2014
Author(s):
Sukumar Ghosh
Distributed Systems: An Algorithmic Approach, Second Edition provides a balanced and straightforward treatment of the underlying theory and practical applications of distributed computing. As in the previous version, the language is kept as unobscured as possible—clarity is given priority over 
Published:
July 10, 2014
Author(s):
Narayan Panigrahi
Capable of acquiring large volumes of data through sensors deployed in air, land, and sea, and making this information readily available in a continuous time frame, the science of geographical information system (GIS) is rapidly evolving. This popular information system is emerging as a platform 
Published:
June 25, 2014
Author(s):
Susmita Bandyopadhyay, Ranjan Bhattacharya
When it comes to discovering glitches inherent in complex systems—be it a railway or banking, chemical production, medical, manufacturing, or inventory control system—developing a simulation of a system can identify problems with less time, effort, and disruption than it would take to employ the 
Published:
June 23, 2014
Editor(s):
Robert J. Abrahart, Linda M. See
A revision of Openshaw and Abrahart’s seminal work, GeoComputation, Second Edition retains influences of its originators while also providing updated, state-of-the-art information on changes in the computational environment. In keeping with the field’s development, this new edition takes a broader 
Published:
June 12, 2014
Author(s):
Owen Jones, Robert Maillardet, Andrew Robinson
Learn How to Program Stochastic Models Highly recommended, the best-selling first edition of Introduction to Scientific Programming and Simulation Using R was lauded as an excellent, easy-to-read introduction with extensive examples and exercises. This second edition continues to introduce 
Published:
May 27, 2014
Author(s):
Yoshihide Igarashi, Tom Altman, Mariko Funada, Barbara Kamiyama
Exploring a vast array of topics related to computation, Computing: A Historical and Technical Perspective covers the historical and technical foundation of ancient and modern-day computing. The book starts with the earliest references to counting by humans, introduces various number systems, and 
Published:
May 19, 2014
Author(s):
Bill Manaris, Andrew R. Brown
Teach Your Students How to Use Computing to Explore Powerful and Creative Ideas In the twenty-first century, computers have become indispensable in music making, distribution, performance, and consumption. Making Music with Computers: Creative Programming in Python introduces important concepts 
Published:
May 13, 2014
Editor(s):
Allen Tucker, Teofilo Gonzalez, Heikki Topi, Jorge Diaz-Herrera
The Most Comprehensive Reference on Computer Science, Information Systems, Information Technology, and Software Engineering Renamed and expanded to two volumes, the Computing Handbook, Third Edition (previously the Computer Science Handbook) provides up-to-date information on a wide range of 

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Data Mining "Nobel Prize" Awarded to Series Editor Vipin Kumar

The ACM SIGKDD 2012 Innovation Award, the highest award for technical excellence in the field of Knowledge Discovery and Data Mining (KDD), has been awarded to Prof. Vipin Kumar for his technical contributions to foundational research in data mining and its applications to mining scientific and climate data. Prof. Kumar is the editor of the Chapman & Hall/CRC Data Mining and Knowledge Discovery Series. He has pioneered research in the areas of high performance and parallel data mining. His research group has also been at the forefront in the development of data-driven discovery methods for analyzing global climate and ecosystem data.

 

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