Computer Science & Engineering

PUBLISHED


Viewing: 1 - 10 of 1140
Published:
October 17, 2014
Author(s):
Fabio Ganovelli, Massimiliano Corsini, Sumanta Pattanaik, Marco Di Benedetto
Teach Your Students How to Create a Graphics Application Introduction to Computer Graphics: A Practical Learning Approach guides students in developing their own interactive graphics application. The authors show step by step how to implement computer graphics concepts and theory using the 
Published:
October 16, 2014
Author(s):
Lopsie Schwartz
The Essentials of Photoshop for Creative Professionals There are plenty of books on Photoshop for photographers; for everyone else, there’s Precision Photoshop: Creating Powerful Visual Effects. In clear, conversational language using extensive images and screenshots, this book gives you in-depth 
Published:
October 08, 2014
Author(s):
Stephen Marsland
A Proven, Hands-On Approach for Students without a Strong Statistical Foundation Since the best-selling first edition was published, there have been several prominent developments in the field of machine learning, including the increasing work on the statistical interpretations of machine learning 
Published:
October 07, 2014
Author(s):
Kumar S. Ray
This is volume 2 of the two-volume Soft Computing and Its Applications. This volume discusses several advanced features of soft computing and hybrid methodologies. This new book essentially contains the advanced features of soft computing and different hybrid methodologies for soft computing. The 
Published:
October 01, 2014
Author(s):
Norman Fenton, James Bieman
A Framework for Managing, Measuring, and Predicting Attributes of Software Development Products and ProcessesReflecting the immense progress in the development and use of software metrics in the past decades, Software Metrics: A Rigorous and Practical Approach, Third Edition provides an up-to-date, 
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 

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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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