Data Structures Using C

Is the Brexit vote successful big data politics or the end of democracy? Why do airlines overbook, and why do banks get it wrong so often? How does big data enable Netflix to forecast a hit, CERN to f

The Condition of Education 2017 summarizes important developments and trends in education using the latest available data. The report presents 42 indicators on the status and condition of education.

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

Gain Confidence in Modeling Techniques Used for Complicated Bridge StructuresBridge structures vary considerably in form, size, complexity, and importance. The methods for their computational analysis

A key task that any aspiring data-driven organization needs to learn is data wrangling, the process of converting raw data into something truly useful. This practical guide provides business analysts

Offering an alternative approach to standardization and data-driven mandates, this book puts children at the center of planning your curriculum. Rather than a prescriptive curriculum, by using The Thi

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 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 is intended as a guide to the analysis and presentation of experimental results. It develops various techniques for the numerical processing of experimental data, using basic statistical met

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

Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this growth, Biological Data Mining presents comprehensive data min

Presenting Data Effectively, Second Editionfocuses on the best possible communication strategies for anyone working with data. From students developing a research poster to faculty presenting data fin

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 ANALYTICS FOR BEGINNERSAre you ready to discover why data analytics is the only hope for fact based decisions?Would you like learn how insightful-driven decisions can help organizations manage th

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

Data Science and Analytics with Python is designed for practitioners in data science and data analytics in both academic and business environments. The aim is to present the reader with the main conce

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

Using new private benefit exchanges, employers can bring the attractions of consumer-centric online shopping to benefits, giving employees unprecedented flexibility in benefits choices -- while also c

Data is revolutionizing the way we all do business. Every business is now a data business and needs a robust Data Strategy. However less than 0.5% of all data is ever analysed and used, offering huge

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 book constitutes the refereed proceedings of the 13th International Conference entitled Beyond Databases, Architectures and Structures, BDAS 2017, held in Ustron, Poland, in May/June 2017. It con

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

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation an

Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools n

Data Science For Dummies 2nd Edition begins by explaining large data sets and data formats, including sample Python code for manipulating data. The book explains how to work with relational databases

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

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

For two-semester courses in the C++ programming sequence, or an accelerated one-semester course. A clear and student-friendly way to teach the fundamentals of C++ Starting Out with C++: F

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

Changing industry trends—cloud computing, mobile computing, big data, and the ascendency of virtualization—have made a staggering impact on data recovery requirements. This book arms readers with info