Data Structures Using C

Grasp how mobile, big data, and analytics are combining to change business processesRight Experience, Right Results: Improving Profits, Margin, and Engagement with Mobile and Big Data illustrates how

Comprehensive and accessible coverage of recent advances in stability, vibration and control of mechanical structures are here provided in selected contributions by invited experts first presented dur

This book provides a comprehensive summary on the ten years of research work by the authors in the field of computerized TCM data analysis. The book first presents a general introduction to computeriz

This book presents the latest results related to shells characterize and design shells, plates, membranes and other thin-walled structures, a multidisciplinary approach from macro- to nanoscale is req

Learn to identify, capture, and utilize impactful data for organizational transformationImpact & Excellence is the culmination of a four year research study into the most successful data-driven st

This book provides an overview of the research work on data privacy and privacy enhancing technologies carried by the participants of the ARES project. ARES (Advanced Research in Privacy an Security,

This book introduces advanced undergraduate, graduate students and practitioners to statistical methods for ranking data. An important aspect of nonparametric statistics is oriented towards the use of

Mimi and her three-legged dog, Maty, are excited about "Bring Your Pet to School Day" but when C. C., the parakeet belonging to shy new girl Emma, gets frightened and flies out the classroom window, M

This text is an unbound, binder-ready edition. Over the past few years, many fundamental changes have occurred in data communications and networking that will shape the future for decades to come. Upd

A variable game changer for those companies operating in hostile, corrosive marine environments, Corrosion Control for Offshore Structures provides critical corrosion control tips and techniques that

Leveraging Big Data and 21st century technology to renew cities and citizenship in AmericaThe Responsive City: Engaging Communities Through Data-Smart Governance. The Responsive City is a guide to civ

Although there are countless books on statistics, few are dedicated to the application of statistical methods to software engineering.Simple Statistical Methods for Software Engineering: Data and Patt

Steve Lohr, a technology reporter for the New York Times, chronicles the rise of Big Data, addressing cutting-edge business strategies and examining the dark side of a data-driven world.Coal, iron ore

This book is intended to present the milestones in the progression of uncertain Data envelopment analysis (DEA). Chapter 1 gives some basic introduction to uncertain theories, including probability th

This book contains the proceedings of the IUTAM Symposium on Multiscale Modeling and Uncertainty Quantification of Materials and Structures that was held at Santorini, Greece, September 9 – 11, 2013.

In the fields of data mining and control, the huge amount of unstructured data and the presence of uncertainty in system descriptions have always been critical issues. The book Randomized Algorithms i

With the onslaught of the Big Data revolution, data-based decision making and analytics are now the rage. However, many key decision makers often make complementary judgments based on intuition. This

The recent pursuits emerging in the realm of big data processing, interpretation, collection and organization have emerged in numerous sectors including business, industry and government organizations

Editor Nirvikar Dahiya and authors review the current ultrasound procedures in small parts and superficial structures. Articles will cover salivary glands, parathyroid, thyroid, ultrasound in evaluati

This text provides both an introduction to and an advanced understanding of statistical modeling of ICU data. It addresses clinical endpoints used in ICU, such as different measures of mortality and t

Comprehensive Coverage of the Entire Area of ClassificationResearch on the problem of classification tends to be fragmented across such areas as pattern recognition, database, data mining, and machine

Next Generation Sequencing (NGS) is the latest high throughput technology to revolutionize genomic research. NGS generates massive genomic datasets that play a key role in the big data phenomenon that

These four volumes provide a collection of key publications on categorical data analysis, carefully put together so that the reader can easily navigate, understand and put in context the major concept

One of the first to do so, this book integrates the major approaches to APC analysis for aggregate-level data, such as uniform crime reports, vital statistics, and census data. It connects the traditi

In Social Structures of Direct Democracy John Asimakopoulos develops a political economy of structural equality making strong empirical arguments for radical transformation toward direct democracy by

Insurers: use analytics to drive far more value from your most important asset -- data! Today, many insurers radically underutilize their data, leaving them vulnerable to traditional and non-tradition

A practical guide to leveraging your data to spur innovation and growth Your business generates reams of data, but what do you do with it? Reporting is only the beginning. Your data holds the key to

This book explores the EU Dicode project, which facilitates collaboration and decision making in data-intensive and cognitively complex settings. The emphasis is on exploitation of big data, and on co

Structures placed on hillsides often present a number of challenges and a limited number of economical choices for site design. An option sometimes employed is to use the building frame as a retaining

This book is about the pattern formation and the evolution of crack propagation in engineering materials and structures, bridging mathematical analyses of cracks based on singular integral equations,

Massive amounts of data on human beings can now be analyzed. Pragmatic purposes abound, including selling goods and services, winning political campaigns, and identifying possible terrorists. Yet 'big data' can also be harnessed to serve the public good: scientists can use big data to do research that improves the lives of human beings, improves government services, and reduces taxpayer costs. In order to achieve this goal, researchers must have access to this data - raising important privacy questions. What are the ethical and legal requirements? What are the rules of engagement? What are the best ways to provide access while also protecting confidentiality? Are there reasonable mechanisms to compensate citizens for privacy loss? The goal of this book is to answer some of these questions. The book's authors paint an intellectual landscape that includes legal, economic, and statistical frameworks. The authors also identify new practical approaches that simultaneously maximize the utili

This is a new edition of a highly praised, successful reference on data mining, now more important than ever due to the growth of the field and wide range of applications. This edition features new ch

A modern and practical guide to the essential concepts and ideas for analyzing data with missing observations in the field of biostatisticsWith an emphasis on hands-on applications, Applied Missing Da

"This book provides a central source of reference on the various data management techniques of large scale data processing and its technology application. This book presents chapters written by leadin

Written for students and researchers in statistics and biostatistics, this book presents a modern introduction to categorical data analysis, with R integrated into the text as a data analysis method a

Rather than the broad array of topics in most textbooks on business databases, Umanath and Scamell focus on data modeling and database design to provide a robust understanding of these core areas. Thi

This book provides a comprehensive overview of calibration and validation techniques for traffic simulation models. It details the data required as an input for the calibration and validation processe

Based on several years of detailed research into the architectural consequences of construction when exposed to industrialised production techniques and systems, System Structures in Architecture repr

What are the most effective methods to code and analyze data for a particular study? This thoughtful and engaging book reviews the selection criteria for coding and analyzing any set of data--whether

Traditional Database Management Systems are built on the concept of persistent data sets, that are stored reliably in stable storage and queried/updated several times throughout their lifetime. For se