Data Structures Using C

Internet Computing and Big Data is a compendium of articles and papers that were presented at ICOMP '15, an international conference that serves researchers, scholars, professionals, students, and aca

The special nature of discrete variables and frequency data vis-a-vis statistical graphics is now more widely accepted, and many of these methods (e.g., mosaic displays, fourfold plots, diagnostic plo

This book is meant for postgraduate modules that cover lifetime data in reliability and survival analysis as taught in statistics, engineering statistics and medical statistics courses. It is helpful

This book provides comprehensive reviews of recent progress in matrix variate and tensor variate data analysis from applied points of view. Matrix and tensor approaches for data analysis are known to

0134566688 / 9780134566689 Statistics for Managers Using Microsoft Excel, Student Value Edition with PHStat, 8/e Package consists of: 0134173910 / 9780134173917 Statistics for Managers Using

Using Art Media in Psychotherapy makes a thoughtful and contextual argument for using graphic art materials in psychotherapy, providing historical context for art materials and their uses and incorpor

Using Art Media in Psychotherapy makes a thoughtful and contextual argument for using graphic art materials in psychotherapy, providing historical context for art materials and their uses and incorpor

This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2015, held in Buenos Air

‘The Anthem Companion to C. Wright Mills’ offers the best contemporary work on C. Wright Mills, written by the best scholars currently working in this field. Original, authoritative and wide-ranging,

Here it is ... the latest from best-selling author Victoria Bernhardt. This book helps educators think through the selection of the data elements and data tools needed to support quality decisions for

Gathering the right kind and the right amount of information is crucial for any decision-making process. This book presents a unified framework for assessing the value of potential data gathering schemes by integrating spatial modelling and decision analysis, with a focus on the Earth sciences. The authors discuss the value of imperfect versus perfect information, and the value of total versus partial information, where only subsets of the data are acquired. Concepts are illustrated using a suite of quantitative tools from decision analysis, such as decision trees and influence diagrams, as well as models for continuous and discrete dependent spatial variables, including Bayesian networks, Markov random fields, Gaussian processes, and multiple-point geostatistics. Unique in scope, this book is of interest to students, researchers and industry professionals in the Earth and environmental sciences, who use applied statistics and decision analysis techniques, and particularly to those wor

Utilising both key mathematical tools and state-of-the-art research results, this text explores the principles underpinning large-scale information processing over networks and examines the crucial interaction between big data and its associated communication, social and biological networks. Written by experts in the diverse fields of machine learning, optimisation, statistics, signal processing, networking, communications, sociology and biology, this book employs two complementary approaches: first analysing how the underlying network constrains the upper-layer of collaborative big data processing, and second, examining how big data processing may boost performance in various networks. Unifying the broad scope of the book is the rigorous mathematical treatment of the subjects, which is enriched by in-depth discussion of future directions and numerous open-ended problems that conclude each chapter. Readers will be able to master the fundamental principles for dealing with big data over

Quantitative research in social science research is changing rapidly. Researchers have vast and complex arrays of data with which to work: we have incredible tools to sift through the data and recognize patterns in that data; there are now many sophisticated models that we can use to make sense of those patterns; and we have extremely powerful computational systems that help us accomplish these tasks quickly. This book focuses on some of the extraordinary work being conducted in computational social science - in academia, government, and the private sector - while highlighting current trends, challenges, and new directions. Thus, Computational Social Science showcases the innovative methodological tools being developed and applied by leading researchers in this new field. The book shows how academics and the private sector are using many of these tools to solve problems in social science and public policy.

Quantitative research in social science research is changing rapidly. Researchers have vast and complex arrays of data with which to work: we have incredible tools to sift through the data and recognize patterns in that data; there are now many sophisticated models that we can use to make sense of those patterns; and we have extremely powerful computational systems that help us accomplish these tasks quickly. This book focuses on some of the extraordinary work being conducted in computational social science - in academia, government, and the private sector - while highlighting current trends, challenges, and new directions. Thus, Computational Social Science showcases the innovative methodological tools being developed and applied by leading researchers in this new field. The book shows how academics and the private sector are using many of these tools to solve problems in social science and public policy.

Concise and practical, this is your guide through the methodology and approaches to the analysis of questionnaire data for business and management Masters students.

Concise and practical, this is your guide through the methodology and approaches to the analysis of questionnaire data for business and management Masters students.

The Digital Humanities have arrived at a moment when digital Big Data is becoming more readily available, opening exciting new avenues of inquiry but also new challenges. This pioneering book describe

The International Conference on Advanced Materials, Structures and Mechanical Engineering 2015 (ICAMSME 2015) was held on May 29-31, Incheon, South-Korea. The conference was attended by scientists, sc

Most people think that Big Data projects start directly with the deployment of large distributed clusters of heavy map reduce jobs, whereas reality shows that there isn’t any unique/perfect solution t

The Digital Humanities have arrived at a moment when digital Big Data is becoming more readily available, opening exciting new avenues of inquiry but also new challenges. This pioneering book describe

The healthcare industry is in a state of accelerated transition. The proliferation of data and its assimilation, access, use, and security are ever-increasing challenges. Finding ways to operationaliz

Our newly digital world is generating an almost unimaginable amount of data about all of us. Such a vast amount of data is useless without plans and strategies that are designed to cope with its size

Our newly digital world is generating an almost unimaginable amount of data about all of us. Such a vast amount of data is useless without plans and strategies that are designed to cope with its size

This ready reference is unique in collating in one scientifically precise and comprehensive handbook the widespread data on what is feasible and realistic in modern fuel cell technology.Edited by one

Like Amy Benjamin’s other books, this one is easy to read and simple to implement. It demonstrates that you can manage the complexities of differentiated instruction – and save time -- by using techno

Nearly two decades after the EU first enacted data protection rules, key questions about the nature and scope of this EU policy, and the harms it seeks to prevent, remain unanswered. The inclusion of

Rigging for Games: A Primer for Technical Artists Using Maya and Python is not just another step-by-step manual of loosely related tutorials. Using characters from the video gameTin, it takes you thro

This book is ideal for a one-semester course in statistics, offering a streamlined presentation ofIntroductory Statistics: Exploring the World through Data, by Gould/Ryan. Exploring the World th

A comprehensive guide to implementing SAE methods for poverty studies and poverty mappingThere is an increasingly urgent demand for poverty and living conditions data, in relation to local areas and/o

本書主要包括C、C++和C++類範本三部分。C語言部分介紹指標、陣列、函數、字串、結構體、順序表、鏈表、檔和二維陣列。C++部分介紹順序表類、String類、非線性結構與遞迴、繼承和動態繫結、流與檔。C++類範本部分介紹向量類範本、鏈表類範本和適配器。本書既適用於C和C++語言綜合教學，又適用於程式設計類課程。 全書內容翔實、連貫，結構清晰、嚴謹，目標具體、明確，為高等院校電腦專業程式設計課程的整

這是一部C/C++語言的基礎語法教程，面向零基礎的初學者。C++是在C語言的基礎上做了部分修改和擴展的程式設計語言。本書的前半部分(1~19章)主要是C語言部分，而後半部分(20~31章)則是C++對C語言的擴展。 本書從實際工程需要出發，介紹一個C/C++從業人員所必須掌握的全部語法、核心概念和基本技能，消除了學習考試與實際工作之間的差距。書中不僅介紹函數、指標、結構體、類等基本語法，也介紹了傳

本書共21章，從Visual C++的基礎入手，由淺入深，逐步介紹了使用Visual C++進行Windows程式設計的各個方面。在Visual C++的高級應用部分，詳細介紹了使用Visual C++進行資料庫程式設計、網路程式設計、執行緒技術的實現、動態連結程式庫的實現和ActiveX技術的實現，基本涵蓋了Visual C++的功能。 本書內容豐富，深度和廣度兼顧。可以作為初學者的入門指南，也

C++語言是從C語言發展而來的，所以C++語言既有C語言面向過程的特點，又有自己特有的物件導向的程式設計方法。C++語言是從C語言發展而來的，所以C++語言既有C語言面向過程的特點，又有自己特有的物件導向的程式設計方法。C++語言是從C語言發展而來的，所以C++語言既有C語言面向過程的特點，又有自己特有的物件導向的程式設計方法。

Help your students focus on the development, implementation, and application of modern DSP techniques with DIGITAL SIGNAL PROCESSING USING MATLAB, 3E. Written using an engaging, informal style, this b

本書嚴格遵循C語言標準，全面、系統、深入淺出地闡述了C語言的基本概念、語法和語義，以及用C語言進行程式設計的方法和技術。全書共三篇，第一篇為“C語言程式設計基礎知識”，第二篇為“C語言高級程式設計技術”，第三篇為“C語言綜合應用與實踐”。第一篇強調對基本概念的理解和掌握，主要講解C語言的語法規則、C語言的基本控制結構、陣列、函數等知識；第二篇強調在理解和掌握的基礎上運用高級程式設計技術的方法編寫程

本書以面向應用型人才培養為目標，以非傳統的組織結構為創新點，以全程伴隨上機實踐為特色，簡潔、通俗、直觀、易懂地講述C/C++程序設計。第1章～第3章講述了C語言的背景知識、上機環境以及基礎知識，包括數據類型、常量、變量和表達式，以及順序、選擇、循環三大結構及其編程。第4章～第6章介紹C語言的重點部分，包括數組、函數和指針。第7章～第10章介紹C++的提高部分，包括類與對象、類的繼承與多態性、對話框

For courses in C++ ProgrammingFundamentals of C++ for Novices and Experienced Programmers AlikeIntended for use in a two-term, three-term, or accelerated one-term C++ programming sequence, this Ninth

Designing algorithms to recommend items such as news articles and movies to users is a challenging task in numerous web applications. The crux of the problem is to rank items based on users' responses to different items to optimize for multiple objectives. Major technical challenges are high dimensional prediction with sparse data and constructing high dimensional sequential designs to collect data for user modeling and system design. This comprehensive treatment of the statistical issues that arise in recommender systems includes detailed, in-depth discussions of current state-of-the-art methods such as adaptive sequential designs (multi-armed bandit methods), bilinear random-effects models (matrix factorization) and scalable model fitting using modern computing paradigms like MapReduce. The authors draw upon their vast experience working with such large-scale systems at Yahoo! and LinkedIn, and bridge the gap between theory and practice by illustrating complex concepts with examples

Get started with Visual C# programming with this great beginner's guideBeginning Visual C# 2015 Programming provides step-by-step directions for programming with C# in the .NET framework. Beginning wi

This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area.It demonstrates that Big Data Analysis opens up