This book examines how computer-based programs can be used to acquire ‘big’ digital cultural heritage data, curate, and disseminate it over the Internet and in 3D visualization platforms with the ulti
The definitive survey of the countries and territories of Western Europe, comprising expert analysis and commentary, up-to-date economic and socio-political data and extensive directory information.Ge
The creation, accumulation, and use of copious amounts of data are driving rapid change across a wide variety of industries and academic disciplines. This ‘Big Data’ phenomenon is the result of recent
MoneyLaw (and Beyond) covers two themes. First, it refers to how the analysis of court decisions may be enriched by applying Big Data technology. The book describes how network analyses can assist leg
The book addresses the interplay of healthcare and big data management. Thanks to major advances in big data technologies and precision medicine, healthcare is now becoming the new frontier for both s
Using diverse theories and methods including analysis of online data, feminist critical discourse, fieldwork, grounded theory, and queer theory, this edited volume explores gender panic and policy in
Students in social science courses communicate, socialize, shop, learn, and work online. When they are asked to collect data for course projects they are often drawn to social media platforms and othe
Introduction to Data Compression, Fifth Edition, builds on the success of what is widely considered the best introduction and reference text on the art and science of data compression. Data compressio
The experience of architectural spaces is formed by the way they are staged. The Drama of Space examines the composition and articulation of architectural spaces in terms of spatial dramaturgy, as a r
This book introduces readers to adaptive interference mitigation techniques based on multiple antennas for global navigation satellite systems (GNSS) in the time, domain, spatial and spatial-temporal
Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. This much-needed work presents the relevant aspects of the theory of matrix algebra for a
Data science has recently gained much attention for a number of reasons, and among them is Big Data. Scientists (from almost all disciplines including physics, chemistry, biology, sociology, among oth
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
This textbook is designed to give an engaging introduction to statistics and the art of data analysis. The unique scope includes, but also goes beyond, classical methodology associated with the normal
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 concise set of course-based notes provides the reader with the main concepts and tools needed to perform statistical analyses of experimental data, in particular in the field of high-energy physi
This textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and implementations in the statistica
An Introduction to Data Science by Jeffrey S. Saltz and Jeffrey M. Stanton is an easy-to-read first data science textbook for those with no prior coding experience. The book is designed
This book is an accessible introduction to data-driven storytelling, resulting from discussions between data visualization researchers and data journalists. This book will be the first to define the t
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
Learn Docker "infrastructure as code" technology to define a system for performing standard but non-trivial data tasks on medium- to large-scale data sets, using Jupyter as the master controller.It is
Federal Data Science serves as a guide for federal software engineers, government analysts, economists, researchers, data scientists, and engineering managers in deploying data analytics methods to go
This edited collection offers a much-needed interdisciplinary exploration of the longevity and impact of the spatial turn across disciplines. It is aimed at advanced undergraduates, postgraduates and
This edited collection offers a much-needed interdisciplinary exploration of the longevity and impact of the spatial turn across disciplines. It is aimed at advanced undergraduates, postgraduates and
Rao presents an easy to use quick reference to basic design data on polymer resin, machine, part, and process and shows how to apply this data to solve practical problems, using examples with calc
Binding Space: The Book as Spatial Practice explores the potential role of artists’ books within the realm of architectural representation and the design process. In four main sections, the book exami
Binding Space: The Book as Spatial Practice explores the potential role of artists’ books within the realm of architectural representation and the design process. In four main sections, the book exami
This book addresses the impacts of various types of services such as infrastructure, platforms, software, and business processes that cloud computing and Big Data have introduced into business. Featur
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
Solving intractable questions of evolution, medicine, and genetics is now easier due to computer assisted methods permiting the rapid analysis of molecular sequence data. These advances have exposed e
Data is an important ingredient in any successful education system. Building and sustaining a data system are challenging tasks. Many countries around the world have spent significant resources but st
"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
Designed to cover techniques for analysis of data in the animal sciences, this textbook provides an overview of the basic principles of statistics, enabling the subsequent applications to be carried o
Creating Data Literate Students provides high school librarians and educators with foundational domain knowledge to teach a new subset of information literacy skills — data and statistical liter
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
"This book investigates two specific issues: the age when the child leaves perceptive egocentrism and gender differences in the management of spatial reference systems. It describes the conceptual fra
Plastic Deformation of Nanostructured Materials offers comprehensive analysis on the most important data and results in the field of materials strength and mechanics. This reference systematically exa
"This book discusses multi-disciplinary geo-spatial techniques. highlights the relationships and differences in procedures, techniques and instruments used in geo-spatial science inquiry; as well as s
