Data Structures Using C

This book critically evaluates the growing body of theoretical literature on ethnic conflict and civil war, using empirical data from three major South Caucasian conflicts, evaluating the relative str

Benchmark publication on religion, discrimination and equality, which contributes to international and global debates by using empirical data from the UK as a case study.

Designed for senior-level and graduate courses in Dynamics of Structures and Earthquake Engineering. Dynamics of Structures includes many topics encompassing the theory of structural dynamics and the

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

'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

The proliferation of massive data sets brings with it a series of special computational challenges. This "data avalanche" arises in a wide range of scientific and commercial applications. With advance

Large-scale data analysis ("Big Data") is suddenly of crucial importance to virtually every enterprise. Mobile and social technologies are generating massive datasets, and distributed cloud computing

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

A combined text and student workbook, Anatomy of Orofacial Structures: A Comprehensive Approach, Enhanced 7th Edition, makes it easy to understand oral histology and embryology, dental anatomy, and he

This brief provides methods for harnessing Twitter data to discover solutions to complex inquiries. The brief introduces the process of collecting data through Twitter’s APIs and offers strategies for

Data Security Breaches and Privacy in Europe aims to consider data protection and cybersecurity issues; more specifically, it aims to provide a fruitful discussion on data security breaches. A detaile

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

Be part of the big learning data revolution!

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

Written for the clinician, Cone Beam Computed Tomography helps the reader understand how CBCT machines operate, perform advanced diagnosis using CT data, have a working knowledge of CBCT-related treat

Gain hands-on experience with HDF5 for storing scientific data in Python. This practical guide quickly gets you up to speed on the details, best practices, and pitfalls of using HDF5 to archive and sh

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

Overwhelmed by all the “Big Data” now available to you? Dumbfounded by all the variables and observations you can make? Not sure what questions to ask? Using proven decision analytics techniques, you

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

Now that answering complex and compelling questions with data can make the difference in an election or a business model, data science is an attractive discipline. But how can you learn this wide-rang

Flagged as the world's smallest and lightest DSLR camera (among cameras using the APS-C size equivalent sensors), and an ideal model for those stepping up from a smartphone or compact camera, Canon's

Practical Data Analysis is a practical, step-by-step guide to empower small businesses to manage and analyze your data and extract valuable information from the data. This book is for developers, smal

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

Masonry is a traditional, highly durable mode of construction; many heritage masonry structures, built at various historical periods, have survived, to a lesser or greater extent, adverse environmenta

Data Science gets thrown around in the press like it's magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a bra

Reflective Practice in ESL Teacher Development Groups discusses the concept of reflective practice in ESL teachers using data from a 3-year collaborative partnership in which three ESL teachers in Can

This introduction to the world of statistics covers exploratory data analysis, methods for collecting data, formal statistical inference, and techniques of regression and analysis of variance. 1983 ed

"...this book advances the "practice perspective," using behaviour and activities of successful, experienced, and skilled managers as the primary data for theorizing good management."--Cover.

This book introduces the basic aspects of applied mathematics. It also covers such topics as information data manipulation, information coding, data approximation, data dimensionality reduction, data

The field of data mining has made significant and far-reaching advances over the past three decades. Because of its potential power for solving complex problems, data mining has been successfully appl

Do you communicate data and information to stakeholders? This issue is Part 1 of a two-part series on data visualization and evaluation. In Part 1, we introduce recent developments in the quantitative

This book comprehensively covers the behavior and design of fiber reinforced polymer strengthened metallic structures based on existing international research. It begins by outlining the applications,

This Data Handbook is a updated and largely extended new edition of the book "Semiconductors: Basic Data". The data of the former edition have been updated and a complete representation of all relevan

《C和C++代碼精粹》基於作者備受好評的C/C++ UserJournal雜誌上的每月專欄，通過大量完全符合ISO標準C++的程序集合，說明了C++真正強大的威力，是C和C++職業程序員的實踐指南。《C和C++代碼精粹》分為3篇共20章，分別從指針、預處理器、C標準庫、抽像、模板、異常、算法、容器、文件處理、動態內存管理等不同層次的話題展開討論。書中的精粹代碼，對於C和C++程序員具有很好的使用價

Exceptionally clear and well-written chapters provide engaging discussions of the methods of accessing, generating, and analyzing social science data, using methods ranging from reflexive historical a

This report for data analysts is authored by the National Research Council's Committee on the Analysis of Massive Data; the Committee on Applied and Theoretical Statistics; the Board on Mathematical S