Data Structures Using C

Use big data analytics to efficiently drive oil and gas exploration and productionHarness Oil and Gas Big Data with Analytics provides a complete view of big data and analytics techniques as they are

Engineering structures considered include bars, columns, struts, tubes, vessels, beams, springs and frames. The loadings imposed upon them are, typically, tension, compression and shear, bending, tors

The problem of exchanging data between different databases with different schemas is an area of immense importance. Consequently data exchange has been one of the most active research topics in databases over the past decade. Foundational questions related to data exchange largely revolve around three key problems: how to build target solutions; how to answer queries over target solutions; and how to manipulate schema mappings themselves? The last question is also known under the name 'metadata management', since mappings represent metadata, rather than data in the database. In this book the authors summarize the key developments of a decade of research. Part I introduces the problem of data exchange via examples, both relational and XML; Part II deals with exchanging relational data; Part III focuses on exchanging XML data; and Part IV covers metadata management.

This volume aims to bring the archaeological study of Florida's Pre-Columbian past up to date, using new techniques, technologies and data to reveal that the Pre-Columbian natives were not isolated an

This thesis deals with strongly luminescent lanthanide complexes having novel coordination structures. Luminescent lanthanide complexes are promising candidates as active materials for EL devices, las

With the growing popularity of the Semantic Web, more and more semantic data and data sources become available and accessible for everyone. By establishing semantic links between the data, answers to

This selection of key presentations from the Food Structures, Digestion and Health conference is devoted to the unique and challenging interface between food science and nutrition, and brings together

Recent advances in functional analysis and homogenization have multiple applications in modeling the mechanics of masonry structures. This book has more than 50 examples that help readers master the u

This is the only substantial and up-to-date reference work on the Ptolemaic army. Employing Greek and Egyptian papyri and inscriptions, and building on approaches developed in state-formation theory, it offers a coherent account of how the changing structures of the army in Egypt after Alexander's conquest led to the development of an ethnically more integrated society. A new tripartite division of Ptolemaic history challenges the idea of gradual decline, and emphasizes the reshaping of military structures that took place between c.220 and c.160 BC in response to changes in the nature of warfare, mobilization and demobilization, and financial constraints. An investigation of the socio-economic role played by soldiers permits a reassessment of the cleruchic system and shows how soldiers' associations generated interethnic group solidarity. By integrating Egyptian evidence, Christelle Fischer-Bovet also demonstrates that the connection between the army and local temples offered new ways

The third edition of a successful engineering text, Design of Liquid Retaining Concrete Structures clarifies the theoretical guidance given in the new suite of Eurocodes for the subject of retaining s

A human behavior and parenting and education expert dispels the prevailing notion that today's parents are raising spoiled and self-entitled children, using logic, social science data and a dose of hu

Contributors from Saudi Arabia and other Arabian Gulf countries, including Kuwait, Bahrain, Egypt, and Qatar, offer overviews, case studies, and policy analysis on using education to transition Gulf c

Comprehensive and complete overview of all kinds of dams and appurtenant hydraulic structures, now in its second edition. Discusses various topics: general questions, design, construction, surveillanc

The capacity and quality of the atmospheric flight performance of space flight vehicles is characterized by their aerodynamic data bases. A complete aerodynamic data base would encompass the coefficie

Machine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise, incomplete or noisy.Uncertainty Modeling for Data Mining: A Label Se

Using authentic data to make math meaningful to students, Jay Lehmann’s algebra series uses a curve-fitting approach to model compelling, real-world situations, while answering the perennial question

Using data from a wide range of printed resources complemented by naturalistic corpora and work with native speaker consultants, David constructs a grammar of the Iranian language spoken in Pakistan a

Merchant activity across Europe, America and China during the long eighteenth century is explored in this collection of essays. Using a unique data set from accounts and correspondence, contributors a

The C-C bond is a basic building block in chemistry, and its formation is often the first step towards building more complex molecules. The direct generation of C-C bonds from C-H by cross-dehydrogena

In this exhaustive analysis, authors deal with the epidemiology, pathogenesis, pathoanatomy, diagnosis, and treatment of chronic radiation syndrome, using data from a unique sample of villagers in the

Handbook of Nutrients: Structures, Metabolism and Genetics provides a comprehensive overview of the supply and use of nutrients in the human body and how the body regulates intake. Chapters detail the

Recently, the pressure for fast processing and efficient storage of large data with complex relations increased beyond the capability of traditional databases. Typical examples include iPhone applicat

Continual improvements in data collection and processing have had a huge impact on brain research, producing data sets that are often large and complicated. By emphasizing a few fundamental principles

Expanding on the author’s previous book, this volume details his recent work using a stochastic/intelligent medium approach to meet the need for systematic, real-time management decision-making in a c

Suitable for researchers and graduate students in the social sciences, this book shows how to apply spatial models using R to a wide range of data from political science and related areas. It also cov

This book provides a reference guide to statistical tests and their application to data using SAS and R. A general summary of statistical test theory is presented, along with a general description for

Virtually all nontrivial and modern service related problems and systems involve data volumes and types that clearly fall into what is presently meant as "big data", that is, are huge, heterogeneous,

'Big data' poses challenges that require both classical multivariate methods and contemporary techniques from machine learning and engineering. This modern text equips you for the new world - integrating the old and the new, fusing theory and practice and bridging the gap to statistical learning. The theoretical framework includes formal statements that set out clearly the guaranteed 'safe operating zone' for the methods and allow you to assess whether data is in the zone, or near enough. Extensive examples showcase the strengths and limitations of different methods with small classical data, data from medicine, biology, marketing and finance, high-dimensional data from bioinformatics, functional data from proteomics, and simulated data. High-dimension low-sample-size data gets special attention. Several data sets are revisited repeatedly to allow comparison of methods. Generous use of colour, algorithms, Matlab code, and problem sets complete the package. Suitable for master's/graduat

This book situates ethnic heterogeneity in the larger discussion of the welfare state and its redistributive outcomes, poverty and inequality. By using comprehensive, longitudinal data covering 1980 t

Pattern recognition in data is a well known classical problem that falls under the ambit of data analysis. As we need to handle different data, the nature of patterns, their recognition and the types

"Observation and research into the performance of steel structures during recent large earthquakes, such as those in Mexico City, Loma Prieta, Northridge and Kobe, has produced some very interesting r

Owing to continuous advances in the computational power of handheld devices like smartphones and tablet computers, it has become possible to perform Big Data operations including modern data mining pr

Active researchers report on the current status of analyzing piezoelectric structures in engineering applications, focusing on particular aspects they are most familiar with. The topics include non-un

To tackle the challenges of Big Data, novel approaches and tools have emerged. Moreover, the technology required for big-data computing is developing at a satisfactory rate due to market forces and te

The purpose of this book is to evaluate the debate on partnership, using original research data. Samuel provides a novel categorisation with which to synthesise and clarify a highly diverse literature

The aim of this book is to present theoretical elements regarding solids and structures, as well as modeling tools in order to study the vulnerability of a structure to a short duration action, genera

This book explores both theoretical and practical issues of language use in a migration context, using a mixed-method approach. The unique interview data on which the analysis is based (and therefore

Using research data and case studies, explains how marketers can build and keep an online audience through the use of hybrid marketing strategies that rely on combinations of old-fashioned mass media

Yang Jiang opens the black box of China's policymaking for free trade agreements and key regional financial initiatives. Using first-hand interview data, she sheds light on the key trends of China's t

"This book discusses the exponential growth of information size and the innovative methods for data capture, storage, sharing, and analysis for big data"--