Java Data Object

Many of the actions performed from by a statistical software comes back to handle,down to manipulating or even transforming digital data, which actually representing statistical data literally.It is t

In the fourth DATA Set adventure, the DATA Set race to deprogram an army of robots before they take over Newtonberg Elementary School.One morning, Mrs. Bell, the science teacher, challenges the studen

Perspectives on Data Science for Software Engineering presents the best practices of seasoned data miners in software engineering. The idea for this book was created during the 2014 conference at Dags

Network data are produced automatically by everyday interactions - social networks, power grids, and links between data sets are a few examples. Such data capture social and economic behavior in a form that can be analyzed using powerful computational tools. This book is a guide to both basic and advanced techniques and algorithms for extracting useful information from network data. The content is organized around 'tasks', grouping the algorithms needed to gather specific types of information and thus answer specific types of questions. Examples include similarity between nodes in a network, prestige or centrality of individual nodes, and dense regions or communities in a network. Algorithms are derived in detail and summarized in pseudo-code. The book is intended primarily for computer scientists, engineers, statisticians and physicists, but it is also accessible to network scientists based in the social sciences. MATLAB®/Octave code illustrating some of the algorithms will be availab

This book examines the practices of cybercriminals who steal and sell personal information acquired through various means, including mass data breaches, to engage in cybercrime and fraud. Using data f

The idea of a right to privacy, which arose in reaction to the rapid rise of newspapers, instant photography and the “paparazzi” of the 19th century, has evolved into a constitutional right in much of the developed world. It is enshrined in Hong Kong through Articles 28, 29, 30 and 39 of the Basic Law. Hong Kong stands proud as the first jurisdiction in Asia to enact legislation to safeguard personal data in the form of the Personal Data (Privacy) Ordinance, Cap 486 (“the Ordinance”) which came into force in 1996. At its centre are the six Data Protection Principles based on the 1980 OECD Guidelines. The office of the Privacy Commissioner for Personal Data was created under this legislation to provide oversight and ensure compliance. The Octopus scandal in mid-2010 eventually led to substantial changes being made to the Ordinance that were enacted in 2012 and 2013, the main amendments being the Direct Marketing provisions and the provision of legal assistance and representation to aggr

Since 1984, Geophysical Data Analysis has filled the need for a short, concise reference on inverse theory for individuals who have an intermediate background in science and mathematics. The new editi

This brief explores two of the main challenges of spatial network data analysis: the many connected components in the spatial network and the many candidates that have to be processed. Within this boo

Never has it been more essential to work in the world of data. Scholars and students need to be able to analyze, design and curate information into useful tools of communication, insight and understan

Never has it been more essential to work in the world of data. Scholars and students need to be able to analyze, design and curate information into useful tools of communication, insight and understan

"This book explores emerging research on the ever-growing field of big data and facilitates further knowledge development on methods for handling and interpreting large data sets, providing multi-disc

The field of data mining is receiving significant attention in today's information-rich society, where data is available from different sources and formats, in large volumes, and no longer constitutes

The Little Data Book on Private Sector Development 2016 is a reliable cross-country data on aspects of private sector development, crucial in planning for economic recovery and growth. In targeting in

This book describes the methods and numerical approaches for data assimilation in geodynamical models and presents several applications of the described methodology in relevant case studies. The book

The Little Green Data Book 2016 is a pocket-sized ready reference on key environmental data for over 200 countries. Key indicators are organized under the headings of agriculture, forestry, biodiversi

Information Security Science: Measuring the Vulnerability to Data Compromises provides the scientific background and analytic techniques to understand and measure the risk associated with information

This is a new edition to the classic book by ggplot2 creator Hadley Wickham. ggplot2 is a data visualization package for R that helps users create data graphics, including those th

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.

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

Incorporating an innovative focus on data visualization and time series forecasting,Data Mining for Business Intelligence supplies insightful, detailed guidance on fundamental data mining techniques.

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

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

This book addresses three challenging issues related to Big Data. First, how do we aggregate heterogeneous types of data from numerous sources and then use fast database management technology to store

Two knights have their dinner plans derailed as they discover object after object in their stove—objects that ominously belong to their missing friend, Harold—in this delightfully slapstick picture bo

“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 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