Viewing: 1 - 10 of 98
May 27, 2014
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 
February 11, 2014
Alexander Meduna
Formal Languages and Computation: Models and Their Applications gives a clear, comprehensive introduction to formal language theory and its applications in computer science. It covers all rudimental topics concerning formal languages and their models, especially grammars and automata, and sketches 
August 27, 2013
Anne Benoit, Yves Robert, Frédéric Vivien
Presenting a complementary perspective to standard books on algorithms, A Guide to Algorithm Design: Paradigms, Methods, and Complexity Analysis provides a roadmap for readers to determine the difficulty of an algorithmic problem by finding an optimal solution or proving complexity results. It 
October 29, 2012
Edna E. Reiter, Clayton Matthew Johnson
Limits of Computation: An Introduction to the Undecidable and the Intractable offers a gentle introduction to the theory of computational complexity. It explains the difficulties of computation, addressing problems that have no algorithm at all and problems that cannot be solved efficiently. The 
December 13, 2011
Martin Davis
The breathtakingly rapid pace of change in computing makes it easy to overlook the pioneers who began it all. Written by Martin Davis, respected logician and researcher in the theory of computation, The Universal Computer: The Road from Leibniz to Turing explores the fascinating lives, ideas, and 
November 22, 2010
Pascal Hitzler, Anthony Seda
Covering the authors’ own state-of-the-art research results, Mathematical Aspects of Logic Programming Semantics presents a rigorous, modern account of the mathematical methods and tools required for the semantic analysis of logic programs. It significantly extends the tools and methods from 
April 15, 2009
Kamal Lodaya, Madhavan Mukund
Concurrency theory is an important research area within theoretical computer science, with applications in parallel and distributed computing. This book provides an overview of current research in concurrency through state-of-the-art contributions from worldwide experts. Covering contemporary 
November 21, 2008
Robert Croker
YouTube, Wikipedia, Second Life, and My Space are only the beginning. The present and the future is Quantum Matrix. Filled with detailed descriptions of cutting-edge technologies in relation to machine evolution and human emotions, this book includes concrete examples of how technology is changing 
November 20, 2008
Premchand S. Nair
While Java texts are plentiful, it’s difficult to find one that takes a real-world approach, and encourages novice programmers to build on their Java skills through practical exercise. Written by an expert with 19 experience teaching computer programming, Java Programming Fundamentals presents 
June 09, 2008
G.R. Dattatreya
Performance Analysis of Queuing and Computer Networks develops simple models and analytical methods from first principles to evaluate performance metrics of various configurations of computer systems and networks. It presents many concepts and results of probability theory and stochastic processes. 

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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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