Multidimensional Data Visualization

From Ars Technica senior business editor Cyrus Farivar, a critical and historic look at how 50 years of American privacy law is inadequate for the near-future of surveillanceShow me the data! Until th

This third edition to the award-winning book is a straightforward view of a clinical data warehouse development project, from inception through implementation and follow-up. Through first-hand experie

This third edition to the award-winning book is a straightforward view of a clinical data warehouse development project, from inception through implementation and follow-up. Through first-hand experie

Research data are everywhere. In our everyday interactions, through social media, credit cards and even public transport, we generate and use data. The challenge for sociologists is how to collect, an

This book employs different parametric and non-parametric panel data models which have been used in history of developed panel data efficiency measurement literature. It assesses the differences of mo

Businesses are rushing to collect personal data to fuel surging demand. Data enthusiasts claim personal information that's obtained from the commercial internet, including mobile platforms, social networks, cloud computing, and connected devices, will unlock path-breaking innovation, including advanced data security. By contrast, regulators and activists contend that corporate data practices too often disempower consumers by creating privacy harms and related problems. As the Internet of Things matures and facial recognition, predictive analytics, big data, and wearable tracking grow in power, scale, and scope, a controversial ecosystem will exacerbate the acrimony over commercial data capture and analysis. The only productive way forward is to get a grip on the key problems right now and change the conversation. That's exactly what Jules Polonetsky, Omer Tene, and Evan Selinger do. They bring together diverse views from leading academics, business leaders, and policymakers to discuss

Direct from Microsoft, this Exam Ref is the official study guide for the new Microsoft 70-778 Analyzing and Visualizing Data with Microsoft Power BI certification exam. Exam Ref 70-778: Anal

Traditionally seen as a purely people function unconcerned with numbers, HR is now uniquely placed to use company data to drive performance, both of the people in the organization and the organization

The R language is widely used by statisticians for data analysis, and the popularity of R programming has therefore increased substantially in recent years. The emerging Internet of Things (IoT) gathe

From the New York Times bestselling author of Big Data, a prediction for how data will revolutionize the market economy and make cash, banks, and big companies obsolete In modern history, the story of

Did you know that there is a technology inside Excel, and Power BI, that allows you to create magic in your data, avoid repetitive manual work, and save you time and money? Using Excel and Power BI,

Model, map, and access data effectively with Entity Framework Core 2, the latest evolution of Microsoft’s object-relational mapping framework. You will access data utilizing .NET objects via the most

This edited volume assesses capabilities of data mining algorithms for spatial modeling of natural hazards in different countries based on a collection of essays written by experts in the field. The b

This proceedings volume presents new methods and applications in applied economic research with an emphasis on advances in panel data analysis. Featuring papers presented at the 2017 International Con

Don't let a fear of numbers hold you back.Today's business environment brings with it an onslaught of data, but leaving the analysis to others in your company just won't cut it. Now more than ever, ma

Reading and storing data is a core part of any application, and .NET developers want database access to be easy and intuitive. Entity Framework Core is a .NET library designed to simplify data persist

Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniqu

This book presents the proceedings of the 2nd Pacific Rim Statistical Conference for Production Engineering: Production Engineering, Big Data and Statistics, which took place at Seoul National Univers

"This book investigates the incorporation of pattern management in business technologies as well as decision-making and prediction process. It brings together the common issues of data management and

As jobs become increasingly similar, there are two skills that everyone needs if they’re going to thrive. These are the ability to interrogate and make sense of data, and the ability to use insights e

For courses in computer science and programming Starting Out with Java: From Control Structures through Data Structures provides a smooth introduction to programming with Java that moves fl

This book rests upon a smooth integration between image fusion and data mining for information retrieval and content-based mapping in the context of different environmental applications, and it focuse

This book explores outcome modeling in cancer from a data-centric perspective to enable a better understanding of complex treatment response, to guide the design of advanced clinical trials, and to ai

The #1 Easy, Common-Sense Guide to SQL Queries–All Chapters Updated for the Latest SQL Standard SQL Queries for Mere Mortals helps new users learn the foundations of SQL queries, and will prove an essential reference guide for intermediate and advanced users. Step by step, John L. Viescas guides you through creating reliable queries for virtually any modern SQL-based database. He demystifies all aspects of SQL query writing, from simple data selection and filtering to joining multiple tables and modifying sets of data.

A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework.Today many information source

This evaluation of two programs that help monitor progress toward a global goal to increase modern contraceptive use by 2020 is based on qualitative and quantitative data from interviews with more tha

This report provides a closer look at the current state of the Controlled Unclassified Information (CUI) program as well as how the new CUI rules might affect DoD acquisition data management.

For the past century and more, the story of capitalism has been a story of firms and financiers. Thanks to the Big Data revolution, soon, it won't be. As Viktor Mayer-Sch?nberger, bestselling author o

Get up to speed with Apache Kudu, the column-oriented data store for Hadoop that not only provides an architectural simplification of several existing use cases, but also allows use cases not possible

This book constitutes the refereed proceedings of the First International Conference on Data Science Analytics and Applications, DaSAA 2017, held in Chennai, India, in January 2017. The 16 revise

Unstructured Data Analytics (UDA) is the ultimate guide that any managers and executives can use to understand the power of UDA and integrate it in their business practices. It offers non-technical in

Statistical methods in modern research increasingly entail developing, estimating and testing models for data. Rather than rigid methods of data analysis, the need today is for more flexible methods f

In this work, Carol V.A. Quinn considers survivors’ arguments in the debate concerning the ethics of using Nazi medical data, showing what it would mean to take their claims seriously. Her approach is

Statistical methods in modern research increasingly entail developing, estimating and testing models for data. Rather than rigid methods of data analysis, the need today is for more flexible methods f

This book presents a theory of information justice that subsumes the question of control and relates it to other issues that influence just social outcomes. ?Data does not exist by nature. Bureaucrati

How the hidden trade in our sensitive medical information became a multibillion-dollar business, but has done little to improve our health-care outcomesHidden to consumers, patient medical data has be

"Big Data, Big Dupe" is a little book about a big bunch of nonsense. The story of David and Goliath inspires us to hope that something little, when armed with truth, can topple something big that is a

Learn web scraping and crawling techniques to access unlimited data from any web source in any format. With this practical guide, you’ll learn how to use Python scripts and web APIs to gather and proc

This book brings a high level of fluidity to analytics and addresses recent trends, innovative ideas, challenges and cognitive computing solutions in big data and the Internet of Things (IoT). It expl

Analytics has become a key driver of competitive advantage for organizations, underpinning new waves of productivity, growth, innovation, and customer insights. As the availability of data increases,