Java Data Object

Vance presents this in-depth guide to using physiometric technology and data collection to precisely tune triathlon training to an athlete's individualized needs, broken into four parts. The first par

This book offers an overview of traditional big visual data analysis approaches and provides state-of-the-art solutions for several scene comprehension problems, indoor/outdoor classification, outdoor

This, the 25th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five fully revised selected papers focusing on data and knowledge management systems. Topics covered

本書是國外資料結構與演算法分析方面的經典教材，使用卓越的Java程式設計語言作為實現工具討論了資料結構(組織大量資料的方法)和演算法分析(對演算法執行時間的估計)。本書把演算法分析與最有效率的Java程式的開發有機地結合起來，深入分析每種演算法，內容全面、縝密嚴格，並細緻講解精心構造程式的方法。

在當今Java EE 開發中，Spring 框架是當之無愧的王者。而Spring Boot 是Spring 主推的基於“習慣優於配置”的原則，讓你能夠快速搭建應用的框架，從而使得Java EE 開發變得異常簡單。本書從Spring 基礎、Spring MVC 基礎講起，從而無難度地引入Spring Boot 的學習。涵蓋使用Spring Boot 進行Java EE 開發的絕大數應用場景，包含：W

Reeve and Kabot present readers with an examination of contemporary data collection and analysis in education, and the application of research results to curriculum and teaching practice in the contem

Big data has presented a number of opportunities across industries. With these opportunities come a number of challenges associated with handling, analyzing, and storing large data sets. One solution

本書是一本為新學習Java程式設計語言的人員而寫的入門級教材，旨在培養物件導向程式設計的基礎及思想和方法。主要內容包括Java語言基礎知識、類與物件的創建及應用及異常等知識。本教材突破傳統的程式設計語言體系化的編寫方法，注重程式設計思路和學習路徑的建立，內容組織深入淺出，適合教師講解及學生自學。

This volume is aiming at a wide range of readers and researchers in the area of Big Data by presenting the recent advances in the fields of Big Data Analysis, as well as the techniques and tools used&

This book is designed for training of Collegiate programming contest teams on the nuances of data structure and helping college students in computer related majors gain a deep understanding of data st

Nicky Burkett is a small-time criminal. He doesn’t object to the adjective, because a small-time criminal is less likely to attract attention from people who object to the noun.But nothing seems to go

Data Mining is a compendium of articles and papers that were presented at DMIN '15, an international conference that serves researchers, scholars, professionals, students, and academicians.

Advances in Big Data Analytics is a compendium of articles and papers that were presented at ABDA '15, an international conference that serves researchers, scholars, professionals, students, and acade

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 undergraduate textbook provides an introduction to High Performance Computing (HPC) for Data Science and is divided into two parts. The first covers the fundamentals of HPC and the second part de

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

本書圍繞Java程式設計語言的基本知識和JDK 1.8版本的部分新特性，採用任務驅動與專案實訓的方式，介紹如何在Eclipse開發環境下進行物件導向程式設計與應用開發。

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

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

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

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

Storing data on the browser can save time and money if it’s done right. This book discusses how to use client-side storage in the web browser – when to do it, what steps to take, common pitfalls, and

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

This book reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Illuminating perspec

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

Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how

Get the most out of your data by getting more out of TableauTableau Your Data! shows you how to build dynamic, best of breed visualizations using the Tableau Software toolset. This comprehensive guide

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

This book proposes a data-driven methodology using multi-way data analysis for the design of video-quality metrics. It also enables video- quality metrics to be created using arbitrary features. This

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

《Java Web開發實例大全（提高卷）》篩選、彙集了Java Web開發從基礎知識到高級應用各個層面的大量實例及原始程式碼，共有600個左右，每個實例及原始程式碼按實例說明、關鍵技術、設計過程、詳盡注釋、秘笈心法的順序進行了分析解讀。全書分為7篇23章，包括流行元件應用、資料庫應用、圖表統計、Ajax框架應用、流行框架、網站安全與架構模式、綜合應用等。重點內容有操作XML檔、發送與接收郵件、資料

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