This collection of research papers provides extensive information on deploying services, concepts, and approaches for using open linked data from libraries and other cultural heritage institutions. Wi
Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Seventh Edition, provides a broad overview of statistical methods for advanced undergraduate and graduate students from a
This book develops two key machine learning principles: the semi-supervised paradigm and learning with interdependent data. It reveals new applications, primarily web related, that transgress the clas
This book explains the Linked Data domain by adopting a bottom-up approach: it introduces the fundamental Semantic Web technologies and building blocks, which are then combined into methodologies and
Doing Sociolinguistics: A practical guide to data collection and analysis provides an accessible introduction and guide to the methods of data collection and analysis in the field of sociolinguistics.
This book is a comprehensive introduction to financial modeling that teaches advanced undergraduate and graduate students in finance and economics how to use R to analyze financial data and implement
This book provides fresh insights into the cutting edge of multimedia data mining, reflecting how the research focus has shifted towards networked social communities, mobile devices and sensors. The w
Describes and discusses the variants of kernel analysis methods for data types that have been intensely studied in recent yearsThis book covers kernel analysis topics ranging from the fundamental theo
This handbook represents a milestone in the progression of Data Envelopment Analysis (DEA). Written by experts who are often major contributors to DEA theory, it includes a collection of chapters that
This handbook offers a comprehensive review of the state-of-the-art research achievements in the field of data centers. Contributions from international, leading researchers and scholars offer topics
This book is mainly about an innovative and fundamental method called “intelligent knowledge” to bridge the gap between data mining and knowledge management, two important fields recognized by the inf
Utilizing unique real-world examples and numerous graphics, this introductory book provides a solid foundation of the statistical methods that are used to analyze biomarker data and features software
This book provides an introduction into data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. In addition, this revi
This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars. The first part of the book an
“I didn’t set out to become a collector of your and your neighbors’ information. When I was growing up, nobody but egghead scientists talked about ‘data.’ It was the mechanical age, and I was a gadget
Thermodynamic data of polymer solutions are paramount for industrial and laboratory processes. These data also serve to understand the physical behavior of polymer solutions, study intermolecular inte
Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science of exploring large and complex bodies of data in order to discover
This timely text/reference explores the business and technical issues involved in the management of information systems in the era of big data and beyond. Topics and features: presents review question
This volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing bi
This book reports the latest findings on intelligent energy management of Internet data centers in smart-grid environments. The book gathers novel research ideas in Internet data center energy managem
This book presents the works and research findings of physicists, economists, mathematicians, statisticians, and financial engineers who have undertaken data-driven modelling of market dynamics and ot
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 fifth edition of his field-defining text, David Silverman, a true guru of qualitative research, walks the reader through the basics of gathering and analyzing qualitative data offering beginne
This book covers the recent advancement of statistical methods for the analysis of longitudinal data. Real datasets from four large NIH-supported longitudinal clinical trials and epidemiological studi
This research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition.
Across the social sciences, there is widespread agreement that quantitative longitudinal research designs offer analysts powerful scientific data resources. But, to date, most texts on social survey a
This timely, thoughtful book provides a clear introduction to using panel data in research. It describes the different types of panel datasets commonly used for empirical analysis, and how to use them
Beautiful Data is both a history of big data and interactivity, and a sophisticated meditation on ideas about vision and cognition in the second half of the twentieth century. Contending that our form
This book provides an introduction to incorporating preference information in Data Envelopment Analysis (DEA) with a special emphasis in Value Efficiency Analysis. In addition to theoretical considera
"Big Data" is on the covers of Science, Nature, the Economist, andWired magazines, on the front pages of the Wall Street Journal and theNew York Times. But despite the media hyperbol
Data collection allows today’s businesses to cater to each customer’s individual needs and provides a necessary edge in a competitive market. However, any breach in confidentiality can cause serious c
The first work to examine data privacy laws across Asia, covering all 26 countries and separate jurisdictions, and with in-depth analysis of the 14 which have specialized data privacy laws. Professor
This is the first book in longitudinal categorical data analysis with parametric correlation models developed based on dynamic relationships among repeated categorical responses. This book is a natura
This book on privacy and data protection offers readers conceptual analysis as well as thoughtful discussion of issues, practices, and solutions. It features results of the seventh annual Internationa
The theme of this volume is big data in ecology.Updates and informs the reader on the latest research findingsWritten by leading experts in the fieldHighlights areas for future investigation
This book contains papers presented at the Workshop on the Analysis of Large-scale, High-dimensional, and Multi-Variate Data Using Topology and Statistics, held in Le Barp, France, June 2013. It featu
This book presents a range of cloud computing platforms for data-intensive scientific applications. It covers systems that deliver infrastructure as a service, including: HPC as a service; virtual net
This collection consists of 24 articles on how organizations can use big data analytics to make decisions. Researchers working in business, management, engineering, and other fields in North America,
The third edition of Lyn Richards' best-selling book is the perfect introduction to qualitative research for students and practitioners. Recognizing that for many new researchers dealing with data is
