One of the grand challenges in our digital world are the large, complex and often weakly structured data sets, and massive amounts of unstructured information. This “big data” challenge is most eviden
If you’re new to C++ but understand some basic programming, then Learn C++ for Game Developmentlays the foundation for the C++ language and API that you
A modern and practical guide to the essential concepts and ideas for analyzing data with missing observations in the field of biostatisticsWith an emphasis on hands-on applications, Applied Missing Da
When it comes to game programming, C++ is the name of the game. If you aspire to move from game player to game creator, it all starts with learning the fundamentals of C++ and game-programming basics.
Addressing recent challenges and developments in this growing field, Multisensor Data Fusion Uncertainty Theory first discusses basic questions such as: Why and when is multiple sensor fusion necessar
Learn the value of conceptual, logical, and physical data modeling and how each stage increases our knowledge of the data and reduces assumptions and poor design decisions in MongoDB.
The Little Green Data Book is a pocket-sized ready reference on key environmental data for over 200 countries. Key indicators are organized under the headings of agriculture, forestry, biodiversity, o
"This book provides a central source of reference on the various data management techniques of large scale data processing and its technology application. This book presents chapters written by leadin
Need to learn C? Now you can! Forget old-fashioned C programming books that assume you're a computer hardware expert and teach frustrating, old-fashioned coding styles. If you know any language at all
C# 5.0 Programmer's Reference is a language tutorial and a reference guide that provides a comprehensive introduction to the latest C# language standard---C# 5.0---as well as its implementation in the
Written for students and researchers in statistics and biostatistics, this book presents a modern introduction to categorical data analysis, with R integrated into the text as a data analysis method a
Rather than the broad array of topics in most textbooks on business databases, Umanath and Scamell focus on data modeling and database design to provide a robust understanding of these core areas. Thi
This book provides a comprehensive overview of calibration and validation techniques for traffic simulation models. It details the data required as an input for the calibration and validation processe
Programming in C, Fourth Edition is a newly revised and updated edition of Steven Kochan's classic C programming tutorial: a book that has helped thousands of students master C over the past 25+ years
What are the most effective methods to code and analyze data for a particular study? This thoughtful and engaging book reviews the selection criteria for coding and analyzing any set of data--whether
What are the most effective methods to code and analyze data for a particular study? This thoughtful and engaging book reviews the selection criteria for coding and analyzing any set of data--whether
Traditional Database Management Systems are built on the concept of persistent data sets, that are stored reliably in stable storage and queried/updated several times throughout their lifetime. For se
Automatic detection and segmentation of anatomical structures in medical images are prerequisites to subsequent image measurements and disease quantification, and therefore have multiple clinical appl
"This book highlights contemporary findings in the area of biologically-inspired techniques in data mining domains and their implementation in real-life problems"--
"This book explores current research in data mining, including the important trends and patterns and their impact in fields such as software engineering, and focuses on modern techniques as well as pa
This book covers all aspects of operational modal analysis for civil engineering, from theoretical background to applications, including measurement hardware, software development, and data processing
The Group Method of Data Handling (GMDH) is a typical inductive modeling method built on the principles of self-organization. Since its introduction, inductive modeling has been developed and applied
Describes the sciences of cloud computing and large data sets, providing critical analysis and context while asking questions about who controls these systems and what the consequences are.
Describes the sciences of cloud computing and large data sets, providing critical analysis and context while asking questions about who controls these systems and what the consequences are.
C++ For Dummies, 7e teaches the reader C++ from the ground-up so beginners can become functional programmers, and intermediate readers can fine-tune their skills. As with all previous versions, the re
This Little Data Book presents tables for over 213 economies showing the most recent national data on key indicators of information and communications technology (ICT), including access, quality, affo
Variational Regularization of 3D Data provides an introduction to variational methods for data modelling and its application in computer vision. In this book, the authors identify interpolation as an
Strong data management knowledge and skills are a requirement for every DNP graduate. This unique text focuses on fostering the rigorous, meticulous data management skills that can improve care experi
Structures of Subjectivity: Explorations in Psychoanalytic Phenomenology and Contextualism, is a revised and expanded second edition of a work first published in 1984, which was the first systematic p
This book is a step by step guide on what type of stakes are needed and how to set them for a construction project. Items included are Slope Stakes, Ditches, Minor Structures, Major Structures, Water,
This SpringerBrief presents the concept of the smart grid architecture and investigates the security issues of the smart grid and the existing encrypted data query techniques. Unique characteristics o
Structures of Subjectivity: Explorations in Psychoanalytic Phenomenology and Contextualism, is a revised and expanded second edition of a work first published in 1984, which was the first systematic p
A pocket-size reference that has all the fundamental data that engineers need in their daily work. Taping and drilling charts, hole coordinate charts with common sizes already worked out, speeds/feeds
This book emphasizes computer programs that analyze protein structural data with program output generating data files and visual feedback in the form of a molecular display. The theoretical part of th
This book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the author and his colleagues, consisting of Democratic Particle Swarm
The book discusses the topic of Big Data and Analytics, which is now more relevant and actual than ever before. It is written with a strong practitioner focus, not overly stressing the mathematical u
Providing readers with more quantitative insight into markets and a better overview of market structures, this book explains how the mathematical objects of finance relate to the business needs of mar
* This book addresses the problem of writing applications in a multi-language environment in which interfacing with Excel plays a vital role* The goal is to show how to write code in C#, C++ and VBA t
