Multidimensional Data Visualization

This book provides a systematic and comparative description of the vast number of research issues related to the quality of data and information. It does so by delivering a sound, integrated and

Data is everywhere, but very few understand the implications on business and how to build an organization that creates and leverages data by developing the right culture. This book shares how to instr

This study examines a key aspect of regulatory policy in the field of data protection, namely the frameworks governing the sharing of data for law enforcement purposes, both within the EU and between

Data Breach Response and Investigations is the first book to provide holistic and detailed guidance on managing a data breach, from preparing for a breach through proactive breach detection, to restor

Themain objective of this book is to provide the necessary background to work withbig data by introducing some novel optimization algorithms and codes capable ofworking in the big data setting as well

The “Data Industry” is a reversion, derivation, and upgrading of the information industry that touches nearly every aspect of modern life and this book provides introduction of this new industry to th

The first text to address the implications of Big Data on competition policyConsiders the shortfalls and risks under the current approaches by the EU and US competition authoritiesOutlines key issues

The significance of big data can be observed in any decision-making process as it is often used for forecasting and predictive analytics. Additionally, big data can be used to build a holistic view of

Introducing the IBM SPSS Modeler, this book guides readers through data mining processes and presents relevant statistical methods. There is a special focus on step-by-step tutorials and well-document

Data analysis forms the basis of many forms of research ranging from the scientific to the governmental. With the advent of machine intelligence and neural networks, extracting, modeling, and approach

Data mining is an important branch of computer science and information technology management that deals with the discovery and analysis of datasets. This book covers in detail some existent theories a

Threat Forecasting: Leveraging Big Data for Predictive Analysis discusses the dangers associated with relying on historical data, security incident reports, and network analysis to predict future secu

In the third action-packed adventure of The DATA Set series, Dr. Bunsen uses his newest invention—the Bunsenmunicator 3000—to communicate with aliens.Earth to the DATA Set! HELP!When bizarre lights st

An introduction to the basic tools of the theory of (partially) ordered sets such as visualization via diagrams, subsets, homomorphisms, important order-theoretical constructions and classes of ordere

Incorporating a new interdisciplinary approach, this book covers many of the techniques used in computational biomodeling and visualization. It integrates a number of important topics from mechanical

“Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering” provides a systematic account of major concepts and methodologies for data-driven models and presents a unified f

This book brings together an impressive range of academic and intelligence professional perspectives to interrogate the social, ethical and security upheavals in a world increasingly driven by data. W

Formative Assessment, Learning Data Analytics and Gamification: An ICT Education discusses the challenges associated with assessing student progress given the explosion of e-learning environments, suc

This volume is a collection of selected studies on poverty and well-being in East Africa. Using a multidimensional approach, the authors hope to provide a broad view of poverty and a thorough account

This volume gathers seminal contributions that identify the boundaries of the various ethical dilemmas that have emerged in the field of big data research and proposes a set of guidelines for solving

SAS programming is a creative and iterative process designed to empower you to make the most of your organization's data. This friendly guide provides you with a repertoire of essential SAS tools for data management, whether you are a new or an infrequent user. Most useful to students and programmers with little or no SAS experience, it takes a no-frills, hands-on tutorial approach to getting started with the software. You will find immediate guidance in navigating, exploring, visualizing, cleaning, formatting, and reporting on data using SAS and JMP. Step-by-step demonstrations, screenshots, handy tips, and practical exercises with solutions equip you to explore, interpret, process and summarize data independently, efficiently and effectively.

Modes of Thinking for Qualitative Data Analysis argues for engagement with the conceptual underpinnings of five prominent analytical strategies used by qualitative researchers. Melissa Freeman describ

Modes of Thinking for Qualitative Data Analysis argues for engagement with the conceptual underpinnings of five prominent analytical strategies used by qualitative researchers. Melissa Freeman describ

This report sets out the results of a study of consumer attitudes toward data breaches, notifications of those breaches, and company responses to such events.

The exponential digitization of medical data has led to a transformation of the practice of medicine. This development in particular raises new complex issues surrounding health ICT. The proper use of

While everyone is talking about big data,” the truth is that understanding the little data” (stock reports, newspaper headlines, weather forecasts, etc.) is what will help you make smarter decisions a

This book provides a synthesis of research and best practices of how data should be presented to educators in order to optimize the effectiveness of data use. Synthesizing over 300 sources of peer-rev

This book is a guide showing school counselors how to evolve to intentional, data-driven, comprehensive school counseling and to use evidence-based interventions when possible.

This volume, from the 1956 Conference, deals with the nature, reliability, and the uses of the income data included in the 1950 census. It contrasts this data with income information from other source

This collection of essays brings together many of the world's most distinguished statisticians to discuss a wide array of the most important recent developments in data analysis. The book honors John

Data Gathering, Analysis and Protection of Privacy through Randomized Response Techniques: Qualitative and Quantitative Human Traitstackles how to gather and analyze data relating to stigmatizing huma

Pervasive Computing: Next Generation Platforms for Intelligent Data Collection presents current advances and state-of-the-art work on methods, techniques, and algorithms designed to support pervasive

In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big d

Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to so

Your go-to resource for moving traditional relational databases into Hive, a Hadoop-based data warehousing product. Author Scott Shaw, an eminent big data expert, takes you through learning HiveQL, th

Business Intelligence Strategy in the Big Data Analytics: A General Management Perspective explains how to deliver competitive advantages and substantial economic benefits by overcoming commonly-enco

The Little Data Book 2016 is a pocket edition of World Development Indicators 2015. It is intended as a quick reference for users of the World Development Indicators database, book, and mobile app. Th

Are you looking for new ways to use data in the decision-making process? Are you seeking tools that provide better flow-through from data to improved student achievement? Have you ever considered incl

Danger! Action! Trouble! Adventure! Introducing The DATA Set, a brand-new chapter book series for young readers.What would happen if your next-door neighbor were a mad scientist?Gabe, Laura, and Cesar live on a quiet cul-de-sac. They are the whiz kids of Newtonburg Elementary and each specializes in their own subject. In fact, everyone in town lovingly refers to them as the Data Set. However, their quiet days of learning take a sudden turn for the exciting when they meet Dr. Gustav Bunsen—a mad scientist who throws the kids into a wild spiral of adventures.When Dr. Bunsen’s latest invention, a growth ray, hits several tiny animal toys, the mini beasts don’t just grow, they come to life! The DATA Set love their new tiny pets…until they continue to grow. Now there’s an actual elephant in the room—not to mention a chimp, a giraffe, and a dinosaur. When the beasts wander off, it’s up to the DATA Set to track them down. But will they catch the mini beasts before they grow big enough to star

The Concept and Object Modeling Notation (COMN) is able to cover the full spectrum of analysis and design. A single COMN model can represent the objects and concepts in the problem space, logical data