This edited collection provides a comprehensive examination of multidimensional poverty for a wide variety of economies and societies, with a general focus on multidimensional poverty in developed cou
This book uses the discipline-specific, computational methods of the digital humanities to explore a constellation of rigorous case studies of modernist literature.From data mining and visualization t
This is a unique book on the most important quantitative approaches to multidimensional poverty measurement, gathering in one place the various techniques of measurement, as well as offering both a si
Firms are collecting and analyzing customer data at an ever increasing rate in response to evidence that data analytics (precision targeting, improved selling) generates a positive return. Yet e
This book considers local autonomy, measured as a multidimensional concept, from a cross-country comparative perspective, and examines how variations can be explained and what their consequences are.
This book analyses the multidimensional condition of the Romanian industrial landscape, which played host to a multitude of demo-economic, financial, trade, and trans- and inter-sectoral development p
This edited collection surveys and analyses the multidimensional problem of Hubris syndrome, and its deleterious effect on leadership within organisations. The study develops an extended metaphor of t
This volume discusses the importance of a multidimensional and multidisciplinary approach to Christian formation based upon godly love and the imago Dei (Latin, image of God). Grounded biblically and
This book explores diverse communities living in Central Asia and the Caucasus, who are generally gathered under the umbrella term of ‘Gypsies’, their multidimensional identities, self-appellations an
In this book, Helen Kennedy argues that as social media data mining becomes more and more ordinary, as we post, mine and repeat, new data relations emerge. These new data relations are characterised b
Predictive analytics, big data, and data mining are key topics for organizations who want to leverage the ever increasing amounts of data that organizations hold about their customers and other indivi
This book canvases the thoughts and practices of Kenneth W. Thompson, who has contributed a 'public philosophy' of multidimensional and interdisciplinary ideas and practices. Drawing on interviews wit
The spread of the immigration points system worldwide shows that policymaking is multidimensional and interdependent. This book examines states' pursuit of global talent and the globalization of the "
An unprecedented glimpse into the multidimensional learning processes that take place when novice professionals develop the necessary communication skills for effective task accomplishment. This analy
This highly original book is an ethnographic noir of how Big Data profits from patient private health information. The book follows personal health data as it is collected from inside healthcare and b
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
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
In this co-edited volume, Gladys L. Mitchell-Walthour and Elizabeth Hordge-Freeman have invited contributors of African descent from the United States and Brazil to reflect on their multidimensional e
The advent of cloud computing and big data has radically altered the important role of innovation as a strategy for responding to the rapidly changing nature of an increasingly interconnected online w
In this, the first data-driven guide to real time marketing, Chris Kerns outlines the value of RTM via a comprehensive social data performance analysis. He lays out best practices for measuring RTM, i
Big Data is a growing business trend, but there little advice available on how to use it practically. Written by a data mining expert with over 30 years of experience, this book uses case studies to h
The purpose of the book is to provide insights and knowledge which can be actioned by both business people who are end users of data mining, as well as the hands-on data mining practitioner. The persp
This book is an introductory text on analyzing economic data, covering all the key issues required for students wishing to understand and analyse core empirical issues in economics. It focuses on desc
Big Data in History introduces a project to create a world-historical archive that will trace the last four centuries of historical dynamics and change. The archive will link research on social, econo
From the 'Monster of Ravenna' to the 'Elephant Man', Myra Hindley and Ted Bundy, the visualization of 'real', human monsters has always played a part in how society sees itself. But what is the functi
A volume devoted explicitly to the subtle and multidimensional phenomenon of background knowing that has to be recognized as an important element of the triad mind-body-world. The essays are inspired
"Making Sense of Data and Statistics in Psychology confronts the pedagogic challenge of teaching statistics to students in psychology and related disciplines. Recognising the heterogeneous nature of s
The development of firm-level panel data and linked employer-employee data (LEED) promises to shed light on many important areas of European labour market analysis, which have previously been difficu
Successful statistical analysis of research data is an integral part of any social sciences degree. This straightforward and accessible text provides students with both a beginners guide and a continu
This book summarizes five years of learning from data collected as part of the Global Accelerator Learning Initiative. The authors present data describing impact-oriented ventures and accelerators tha
In the post-digital era, investigative journalism around the world faces a revolutionary shift in the way information is gathered and interpreted. Reporters in the field are confronted with data sourc
The recent data controversy with Facebook highlights that the tech industry as a whole was utterly unprepared for the backlash it faced as a result of its business model of selling user data to third
This book analyses new software tools and social media data that can be used to explore the attitudes of people in urban places. It reports on the findings of several research projects that have have
This book explores the power of greater openness, accountability, and transparency in digital information and government data for the nations of Southeast Asia. The author demonstrates that, although
This book explores the reliability of official statistical data in the ASEAN (the Association of Southeast Asian Nations), and the benefits of a better vocabulary to discuss the quality of publicly av
This book defines the notion of applied sign linguistics by drawing on data from projects that have explored sign language in action in various domains. The data sources have been drawn from various s
This book defines the notion of applied sign linguistics by drawing on data from projects that have explored sign language in action in various domains. The data sources have been drawn from various s
People are an organizations' biggest asset and easily amount to 30% of company costs so even small improvements can have a bottom-line impact.People Data demystifies and simplifies the process of unde
Today's marketers face a perilous journey.Thanks to new buyer dynamics, a boardroom-level obsession with marketing ROI, and 'big data' driven decision making tools, the rules have shifted beneath ever
