Data Structures Using C

This book offers guidance for US-based IT businesses on both sides of the Atlantic when dealing with big data and government data, since transatlantic data flows are key to the success of these enterp

Using data compiled from longitudinal studies of World War II, Korean War, and Vietnam War veterans, contributors to this groundbreaking book examine the effects of military service across the lifespa

The only how-to guide offering a unified, systemic approach to acquiring, cleaning, and managing data in R Every experienced practitioner knows that preparing data for modeling is a painstaking, time-

This book examines the evolution, contexts and politics of the structures and institutions that shape contemporary Russia. It analyses the Soviet dissolution, revealing the combination of structural a

Leverage Big Data analytics methodologies to add value to geophysical and petrophysical exploration data Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models demonst

"This book addresses the challenges associated with data analysis through providing guidance in data retrieval and analysis and examples of high-quality research making use of these data sets. It incl

Shell Structures: Theory and Applications XI will contain the proceedings of the 11th International Conference on Shell Structures, held in Gdansk, Poland on October 11-13, 2017.

This book focuses on the statistical aspects of the analysis of degradation data. In recent years, degradation data analysis has come to play an increasingly important role in different disciplines su

Big data analytics provide more accurate, timely, and actionable decisions for both cybersecurity and IT management. This book gives a comprehensive coverage of state-of-the-art big data analytics in

Kawamura’s Nolan Diagnostic Medical Sonography: Abdomen and Superficial Structures,4th Edition provides an up-to-date, comprehensive, and consistent treatment of abdominal sonography. And is an integ

"This book addresses different aspects of data management and ethical issues in research such as data collection, data processing, data storage and retention among others to produce a very comprehensi

Noting that social network analysis falls within the realm of big data computing, computer and information scientists synthesize recent research in using graph theory for analyzing large-scale soc

Take Control of Your Data and Use Python with Confidence Requiring no prior programming experience, Managing Your Biological Data with Python empowers biologists and other life scientists to work with

In Sonata Fragments, Andrew Davis argues that the Romantic sonata is firmly rooted, both formally and expressively, in its Classical forebears, using Classical conventions in order to convey a broad c

This book focuses on the increasingly popular phenomenon of veganism, a way of living that attempts to exclude all animal products on ethical grounds. Using data from biographical interviews with vega

What style building do you live in? Is it a skyscraper, a Victorian home, or a modern building? In Architecture: Cool Women Who Design Structures, readers ages 9 to 12 examine the stories of women who

In programming courses, using the different syntax of multiple languages, such as C plus plus, Java, PHP, and Python, for the same abstraction often confuses students new to computer science. Introduc

The world is saturated with data. We are regularly presented with data in words, tables, and graphics. Students from many academic fields are now expected to be educated about data in one form or anot

The concepts of statistical physics and big data play an important role in the evidence-based analysis and interpretation of macroeconomic principles. The techniques of complex networks, big data, and statistical physics are useful to understand theories of economic systems, and the authors have applied these to understand the intricacies of complex macroeconomic problems. Recent research work using tools and techniques of big data, statistical physics, complex networks, and statistical science is covered, and basic graph algorithms and statistical measures of complex networks are described. The application of big data and statistical physics tools to assess price dynamics, inflation, systemic risks, and productivity is discussed. Chapter-end summary and numerical problems are provided to reinforce understanding of concepts.

This comprehensive guide to Bayesian methods in astronomy enables hands-on work by supplying complete R, JAGS, Python, and Stan code, to use directly or to adapt. It begins by examining the normal model from both frequentist and Bayesian perspectives and then progresses to a full range of Bayesian generalized linear and mixed or hierarchical models, as well as additional types of models such as ABC and INLA. The book provides code that is largely unavailable elsewhere and includes details on interpreting and evaluating Bayesian models. Initial discussions offer models in synthetic form so that readers can easily adapt them to their own data; later the models are applied to real astronomical data. The consistent focus is on hands-on modeling, analysis of data, and interpretations that address scientific questions. A must-have for astronomers, its concrete approach will also be attractive to researchers in the sciences more generally.

This book contains papers presented at the 1st International Conference on Timber Structures, which was held in collaboration with the Technical Centre of Wood Industry in Belgium. It explores the lat

Stability and Vibrations of Thin-Walled Composite Structures presents engineering and academic knowledge on the stability (buckling and post buckling) and vibrations of thin walled composite structure

From the Foreword: "Big Data Management and Processing is [a] state-of-the-art book that deals with a wide range of topical themes in the field of Big Data. The book, which probes many issues related

This book offers a broad, cohesive overview of the field of data privacy. It discusses, from a technological perspective, the problems and solutions of the three main communities working on data priva

Data for Good is a demonstration of practical applications of analytics in government that shows how existing government services can benefit from analytics. A legislator wishing to better understand

Noncooperative Game Theory is aimed at students interested in using game theory as a design methodology for solving problems in engineering and computer science. João Hespanha shows that such design c

This book addresses three important concepts in the economy—competition, innovation, and growth—using various cases and available data in Japan and other countries. First, the authors discuss competit

This book covers computationally innovative methods and technologies including data collection and elicitation, data processing, data analysis, data visualizations, and data presentation. It explores

Data Protection Law and International Dispute Resolution, by D. COOPER, Partner, London Office of Covington & Burling LLP, and C. KUNER, Professor of Law at the Vrije Universiteit, Brussels.Internatio

This book comes up with estimates or decisions based on multiple data sources as opposed to more narrowly defined estimates or decisions based on single data sources. And as the world is awash with da

This publication brings together papers on varying topics related with the Analysis and Design of Marine Structures presented at MARSTRUCT 2017, the 6th International Conference on Marine Structures.

This book focuses on the communication that sustains Black marriage. Using original data and secondary research, Marianne Dainton provides the story of Black marriage success and the contexts and comm

The objective of this work on the mechanics of aeronautical solids, materials and structures is to give an overview of the principles necessary for sizing of structures in the aeronautical field. It b

This volume provides in-depth examinations of a variety of individual, social, and environmental factors that contribute to the success of expatriate employees. Using data from numerous large-scale st

This volume introduces a series of different data-driven computational methods for analyzing group processes through didactic and tutorial-based examples. A number of data-driven methods adapted to gr

Modernisation, Mechanisation and Industrialisation of Concrete Structures discusses the manufacture of high quality prefabricated concrete construction components, and how that can be achieved through

There is now a growing interest in using FPGAs for an increasing range of applications, notably Big Data. The 2nd edition of FPGA-based Implementation of Signal Processing will be extensively updated

Boost efficiency and quality with an assembly line approach to data Analytics Factory presents a blueprint for building a successful analytics environment using a fresh approach to architecture. Based

C-RAN and virtualized Small Cell technology poses several major research challenges. These include dynamic resource allocation, self-configuration in the baseband pool, high latency in data transfer b

Electronic health records (EHRs) have become commonplace in the medical profession. Health data are readily captured and permanently stored in a digital fashion, and consequently, are increasingly bei