Computer Science & Engineering

PUBLISHED


Viewing: 1 - 10 of 1138
Published:
September 30, 2014
Author(s):
Subir Kumar Sarkar, Asis Kumar De, Souvik Sarkar
This book focuses on the basic principles of digital electronics and logic design and is an outgrowth of the lectures delivered to undergraduate students. Each chapter starts with learning goals and can be used for self-study, practice and as a guide to what can be expected in the examinations. A 
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:
September 19, 2014
Author(s):
Eija Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, Garry Wong
The State of the Art in Transcriptome AnalysisRNA sequencing (RNA-seq) data offers unprecedented information about the transcriptome, but harnessing this information with bioinformatics tools is typically a bottleneck. RNA-seq Data Analysis: A Practical Approach enables researchers to examine 
Published:
September 19, 2014
Author(s):
Guillaume Damiand, Pascal Lienhardt
A Versatile Framework for Handling Subdivided Geometric Objects Combinatorial Maps: Efficient Data Structures for Computer Graphics and Image Processing gathers important ideas related to combinatorial maps and explains how the maps are applied in geometric modeling and image processing. It focuses 
Published:
September 18, 2014
Author(s):
Alexandru C. Telea
This book explores the study of processing and visually representing data sets. Data visualization is closely related to information graphics, information visualization, scientific visualization, and statistical graphics. This second edition presents a better treatment of the relationship between 
Published:
September 16, 2014
Author(s):
Kumar S. Ray
This is volume 1 of the two-volume set Soft Computing and Its Applications. This volume explains the primary tools of soft computing as well as provides an abundance of working examples and detailed design studies. The book starts with coverage of fuzzy sets and fuzzy logic and their various 
Published:
September 06, 2014
Author(s):
Kayhan Erciyes
Network science is a rapidly emerging field of study that encompasses mathematics, computer science, physics, and engineering. A key issue in the study of complex networks is to understand the collective behavior of the various elements of these networks.Although the results from graph theory have 
Published:
September 02, 2014
Author(s):
Gunter Ritter
Clustering remains a vibrant area of research in statistics. Although there are many books on this topic, there are relatively few that are well founded in the theoretical aspects. In Robust Cluster Analysis and Variable Selection, Gunter Ritter presents an overview of the theory and applications 
Published:
September 02, 2014
Author(s):
Ryszard Tadeusiewicz, Rituparna Chaki, Nabendu Chaki
The utility of artificial neural network models lies in the fact that they can be used to infer functions from observations—making them especially useful in applications where the complexity of data or tasks makes the design of such functions by hand impractical.Exploring Neural Networks with C# 
Published:
August 29, 2014
Editor(s):
Biju Issac, Nauman Israr
In today’s age of wireless and mobile computing, network and computer security is paramount. Case Studies in Secure Computing: Achievements and Trends gathers the latest research from researchers who share their insights and best practices through illustrative case studies.This book examines the 

News and Notes

Join the Conversation!
Sign up to receive CRC Press' First Look eAlerts, special discounts, and promotions!

 

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.

 

Online Bestsellers:


New Handbook! A pioneering publication for researchers in computer science and engineering, Handbook of Energy-Aware and Green Computing - Two Volume Set is one of the first to present a comprehensive account of recent research in energy-aware and green computing.

New Textbooks!

Programming in C++ for Engineering and Science

A Concise Introduction to Programming in Python

Computers and Society: Computing for Good

Operating System Design: The Xinu Approach, Linksys Version

STAY CONNECTED!
Like us on Facebook, join our LinkedIn Group, or follow us on Twitter.