Java Data Object

This book is concerned with recent developments in time series and panel data techniques for the analysis of macroeconomic and financial data. It provides a rigorous, nevertheless user-friendly, accou

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer s

Build a working knowledge of data modeling concepts and best practices, along with how to apply these principles with ER/Studio. This second edition includes numerous updates and new sections includin

This book presents a methodology to model and specify the data aspect of Web services, as it is overlooked by current standards for specifying Web services. The formal specification enables verificati

The era of rapidly progressing technology we live in generates vast amounts of data; however, the challenge exists in understanding how to aggressively monitor and make sense of this data. Without a b

CRUNCH ANY DATA, FROM ANY SOURCE, QUICKLY AND EASILY, WITH EXCEL 2016 PIVOT TABLES!Use Excel 2016 pivot tables and pivot charts to produce powerful, dynamic reports in minutes instead of hours… unders

Object Lessons is a series of short, beautifully designed books about the hidden lives of ordinary things.It is an object that has been responsible for a greater improvement in human diet and longevit

Solutions Manual to accompany Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery A comprehensive introduction to statistical methods for data mining and

Exact Statistical Inference for Categorical Data discusses the way asymptotic approaches have been often used in practice to make statistical inference. This book introduces both conditional and uncon

「一本只討論JSON的書？是的，這本書涵蓋所有你必須知道的JSON主題，以及所有你不知道但又必須認識的內容。這是一本資訊完整並且資源豐富的好書。」-Shelley Powers, 網頁開發者, JavaScript Cookbook與HTML5 Media的作者 何謂JavaScript Object Notation(JSON)？要如何運用？這本精要手冊能幫助忙碌的IT專業人士快速掌握此資料交換

This book focuses on two general purpose approaches to data analysis that work well in practice: weighting and imputation. The book takes a very practical approach to the methods, with a number of dat

在過去單核CPU時代，單任務在一個時間點只能執行單一程式，隨著多核CPU的發展，並行程式開發就顯得尤為重要。 本書主要介紹基於Java的並行程式設計基礎、思路、方法和實戰。第一，立足於併發程式基礎，詳細介紹Java中進行並行程式設計的基本方法。第二，進一步詳細介紹JDK中對並行程式的強大支援，説明讀者快速、穩健地進行並行程式開發。第三，詳細討論有關“鎖”的優化和提高並行程式性能級別的方法和思路。第

A comprehensive guide to everything scientists need to know about data management, this book is essential for researchers who need to learn how to organize, document and take care of their own data.Re

A comprehensive guide to everything scientists need to know about data management, this book is essential for researchers who need to learn how to organize, document and take care of their own data.Re

This authoritative work provides an in-depth treatment of state space methods, with a range of applications in neural and clinical data. Advanced and state-of-the-art research topics are detailed, including topics in state space analyses, maximum likelihood methods, variational Bayes, sequential Monte Carlo, Markov chain Monte Carlo, nonparametric Bayesian, and deep learning methods. Details are provided on practical applications in neural and clinical data, whether this is characterising time series data from neural spike trains recorded from the rat hippocampus, the primate motor cortex, or the human EEG, MEG or fMRI, or physiological measurements of heartbeats or blood pressures. With real-world case studies of neuroscience experiments and clinical data sets, and written by expert authors from across the field, this is an ideal resource for anyone working in neuroscience and physiological data analysis.

This sophisticated package of statistical methods is for advanced master's (MPH) and PhD students in public health and epidemiology who are involved in the analysis of data. It makes the link from statistical theory to data analysis, focusing on the methods and data types most common in public health and related fields. Like most toolboxes, the statistical tools in this book are organized into sections with similar objectives. Unlike most toolboxes, however, these tools are accompanied by complete instructions, explanations, detailed examples, and advice on relevant issues and potential pitfalls - conveying skills, intuition, and experience. The only prerequisite is a first-year statistics course and familiarity with a computing package such as R, Stata, SPSS, or SAS. Though the book is not tied to a particular computing language, its figures and analyses were all created using R. Relevant R code, data sets, and links to public data sets are available from www.cambridge.org/97811071130

The relationship between survey design and the quality of survey data is the central focus of this book. With regard to data quality, the emphasis is on two aspects that seem to be the most relevant i

Learn to use powerful Python libraries for effective data processing and analysisAbout This BookLearn the basic processing steps in data analysis and how to use Python in this area through supported p

This book presents a detailed review of high-performance computing infrastructures for next-generation big data and fast data analytics. Features: includes case studies and learning activities through

From IT to advanced analtyics, and from data for social good to data for predictive maintenance, this anthology of reports gives a broad overview of the data space—including the applications that have

This book contributes to illustrating the methodological and technological issues of data management in Pervasive Systems by using the DataBenc project as the running case study for a variety of resea

Building Responsive Data Visualization for the Web details both the reasons why and the methods by which responsive data vizualization can be adopted by any front-end development team. It builds upon

Get started with Python for data analysis and numerical computing in the Jupyter notebookAbout This BookLearn the basics of Python in the Jupyter NotebookAnalyze and visualize data with pandas, NumPy,

This book covers the practical aspects of database design, data cleansing, data analysis, and data protection, among others. The focus is on what you really need to know to create the right database f

This volume presents contributions on handling data in which the postulate of independence in the data matrix is violated. When this postulate is violated and when the methods assuming independence ar

This collection of contributions covers current issues in the field of operation research and big data analysis. The book includes valuable case studies with particular attention to applications in th

內容簡介:■ 了解軟體必要的安全特性，提供常見弱點與強化方法 ■ 以實例說明如何防護Java網站與應用程式 ■ 於軟體發展生命週期各階段關注安全性 ■ 幫助您建構安全的Java網站與應用程式 害怕網站或系統一上線就被駭嗎？現今的網路進階持續性滲透攻擊(APT)光靠防火牆與資安設備是不夠的，您需要強化軟體本身的安全性，從軟體開發階段做起，有好的體質就無須擔心被駭。 本書提供給您： ‧軟體安全基礎觀念

Movies will never be the same after you learn how to analyze movie data, including key data mining, text mining and social network analytics concepts. These techniques may then be used in endless othe

本書嘗試用醫療民俗音樂學的角度來瞭解印尼爪哇島的民俗療癒體系，是前所未有的新挑戰，除了整體以介紹印尼當地的民俗療癒文化之外，全書並以印尼爪哇伊斯蘭與薩滿民俗醫療為主軸，探討醫療儀式與各種音聲與表演藝術型態之間的關係，其中涉及到外來文化與醫療系統的傳入、宗教醫療理論、民俗醫療實踐以及各種音聲與表演藝術型態在醫療儀式中的角色與功能等層面，全部都在書中一一向讀者說明。全書分為八個章節，每一章節裡又以幾個

In Beginning Big Data with Power BI and Excel 2013, you will learn to solve business problems by tapping the power of Microsoft’s Excel and Power BI to import data from NoSQL and SQL databases and oth

Randomized response is an approach to survey data collection specifically designed for sensitive inquiries (such as on criminal behavior). The logic underlying this approach is that the element of cha

This comprehensive Oracle Press guide thoroughly covers the latest Oracle-focused data integration tools, techniques, and practicesData integration is one of the most critical skills that all database

?This pioneering book teaches readers to use R within four core analytical areas applicable to the Humanities: networks, text, geospatial data, and images. This book is also designed to be a bridge: b

This book presents new approaches that advance research in all aspects of agent-based models, technologies, simulations and implementations for data intensive applications. The nine chapters contain a

Türk, a freelance business consultant in Germany, offers a guide to each step of the data archiving process in the SAP (Systems Applications and Products) system. He outlines the basic principles and

Extend and enhance your Java applications with domain-specific scripting in GroovyAbout This BookBuild domain-specific mini languages in Groovy that integrate seamlessly with your Java apps with this

Data Analysis in the Cloud introduces and discusses models, methods, techniques, and systems to analyze the large number of digital data sources available on the Internet using the computing and stor

This handy pocket guide is a quick reference for users interested in gender statistics. The book presents gender-disaggregated data for more than 200 economies in an easy country-by-country reference

This book endeavours to give a concise contribution to understanding the data assimilation and related methodologies. The mathematical concepts and related algorithms are fully presented, especially f

"What information do these data reveal?" "Is the information correct?" "How can I make the best use of the information?" The widespread use of computers and our reliance on the data generated by them