Java Data Object

"Data evaluation and data combination require the use of a wide range of probability theory concepts and tools, from deductive statistics mainly concerning frequencies and sample tallies to inductive

This book analyzes the methods, technologies, standards, and languages to structure and describe data in their entirety. It reveals common features, hidden assumptions, and ubiquitous patterns among t

Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches,

Revision of established textbook by one of the leading international researchers and writers on panel data. Comments on the current fourth edition from leading econometricians. Includes new chapter

《Java Web開發實踐教程：從設計到實現（第2版）/21世紀高等學校計算機教育實用規劃教材》是關於Java Web開發的實踐教程，第1～第5章介紹Web框架開發基礎，第6章重點講解一個基於MVC的實用Web開發框架的搭建，第7～第9章對一個實際的Web項目進行需求分析，數據模型建立、設計並給出實現，第10和第11章介紹Web應用的開發專題，第12章介紹J2EE的架構模式、對前端控制器進行詳細的

本書由11個項目組成，每個項目按照完成該項目的工作過程分解成若干個任務，把Java語言的知識點分解並貫穿在項目的任務中。通過項目和任務的實施，學習知識和掌握技能。

All good math students need to know how to handle data, whether it’s measuring it or interpreting it. By presenting the principles of measurement in the context of familiar situations, students will l

"This book evaluates the latest trends and developments in force-based data visualization techniques, addressing issues in the design, development, evaluation, and application of algorithms and networ

This book features a novel geometric data structure for collision detection at haptic rates between arbitrary rigid objects. It offers a state of the art review of the current data structures for coll

Tableau Your Data! is a comprehensive guide to the effective use of the Tableau Software toolset for data visualization. It covers the core feature set for data analytics, illustrating best practic

This collection, assembled and introduced by the esteemed editorial team of acclaimed Social Statistics, tracks the development of statistical methods for continuous or interval-scale data. The volume

Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis. Statistical Methods fo

This book constitutes the refereed proceedings of the 13th Algorithms and Data Structures Symposium, WADS 2013, held in London, ON, Canada, August 2013. The Algorithms and Data Structures Symposium -

《高等學校Java課程系列教材：面向對象與設計模式》是面向有一定Java語言基礎和一定編程經驗的讀者，重點介紹了面向對象的核心內容以及作者在面向對象研究中的一些新思想，全面探討在Java程序設計中怎樣使用一些重要的設計模式。作者編寫《高等學校Java課程系列教材：面向對象與設計模式》的目的是讓讀者不僅學習怎樣在軟件設計中使用好設計模式，更重要的是讓讀者通過學習使用設計模式深刻地理解面向對象的設計思

Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of intere

《Java程序設計基礎與實訓教程》案例豐富，學以致用：在講解理論知識和概念的同時，通過大量的實例分析，

《普通高等教育計算機規劃教材：數據結構與算法（Java版）》共包括8章內容，詳細講述了線性結構、樹結構和圖結構中的數據表示及數據處理的方法，並對查找和排序兩種重要的數據處理技術作了細緻的探討。書中對每一類數據結構的分析均按照“邏輯結構—存儲結構—基本運算的實現—時空性分析—典型例題—知識點小結—擴展學習導讀—練習題—實驗題”的順序來進行，算法全部採用Java語言描述，很容易轉換成程序。本書語言敘述

Providing genome-informed personalized treatment is a goal of modern medicine. Identifying new translational targets in nucleic acid characterizations is an important step toward that goal. The information tsunami produced by such genome-scale investigations is stimulating parallel developments in statistical methodology and inference, analytical frameworks, and computational tools. Within the context of genomic medicine and with a strong focus on cancer research, this book describes the integration of high-throughput bioinformatics data from multiple platforms to inform our understanding of the functional consequences of genomic alterations. This includes rigorous and scalable methods for simultaneously handling diverse data types such as gene expression array, miRNA, copy number, methylation, and next-generation sequencing data. This material is written for statisticians who are interested in modeling and analyzing high-throughput data. Chapters by experts in the field offer a thorou

"This book brings together research on the latest trends and patterns of data mining tools and techniques in dynamic social networks and fuzzy systems"--Provided by publisher.

This book discusses the most important techniques available for longitudinal data analysis, from simple techniques such as the paired t-test and summary statistics, to more sophisticated ones such as generalized estimating of equations and mixed model analysis. A distinction is made between longitudinal analysis with continuous, dichotomous and categorical outcome variables. The emphasis of the discussion lies in the interpretation and comparison of the results of the different techniques. The second edition includes new chapters on the role of the time variable and presents new features of longitudinal data analysis. Explanations have been clarified where necessary and several chapters have been completely rewritten. The analysis of data from experimental studies and the problem of missing data in longitudinal studies are discussed. Finally, an extensive overview and comparison of different software packages is provided. This practical guide is essential for non-statisticians and rese

Data analysis lies at the heart of every experimental science. Providing a modern introduction to statistics, this book is ideal for undergraduates in physics. It introduces the necessary tools required to analyse data from experiments across a range of areas, making it a valuable resource for students. In addition to covering the basic topics, the book also takes in advanced and modern subjects, such as neural networks, decision trees, fitting techniques and issues concerning limit or interval setting. Worked examples and case studies illustrate the techniques presented, and end-of-chapter exercises help test the reader's understanding of the material.

Data analysis lies at the heart of every experimental science. Providing a modern introduction to statistics, this book is ideal for undergraduates in physics. It introduces the necessary tools required to analyse data from experiments across a range of areas, making it a valuable resource for students. In addition to covering the basic topics, the book also takes in advanced and modern subjects, such as neural networks, decision trees, fitting techniques and issues concerning limit or interval setting. Worked examples and case studies illustrate the techniques presented, and end-of-chapter exercises help test the reader's understanding of the material.

"In past decades, data mining has witnessed substantial advances by efforts from various communities. On the other hand, new research questions and practical challenges are continuously presented due

Despite the excitement around "data science," "big data," and "analytics," the ambiguity of these terms has led to poor communication between data scientists and organizations seeking their help. In t

Despite research interest in functional data analysis in the last three decades, few books are available on the subject. Filling this gap, Analysis of Variance for Functional Data presents up-to-date

Updated new edition of Ralph Kimball's groundbreaking book on dimensional modeling for data warehousing!The first edition of Ralph Kimball's The Data Warehouse Toolkit introduced the foundation on whi

A collection of essays examining syntax and semantics, with particular focus on double object construction and adjuncts.

This Little Data Book presents tables for over 213 economies showing the most recent national data on key indicators of information and communications technology (ICT), including access, quality, affo

Big Data Analytics Using Splunk is a hands-on book showing how to process and derive business value from big data in real time. Examples in the book draw from social media sources such as Twitter (twe

@text:The Urban Data Management Society has organised international symposia at various locations throughout Europe since 1971, and UDMS 2013 marks its second visit to London. From its outset, UDMS ha

Data Structures and Algorithm Analysis in C++ is an advanced algorithms book that bridges the gap between traditional CS2 and Algorithms Analysis courses. As the speed and power of computers increa

Cisco dominates the internetworking hardware market with a more than 80% share of the routers used on the Internet. The Cisco Certified Network Associate Data Center (CCNA) certification is Cisco's ne

This work presents a data visualization technique that combines graph-based topology representation and dimensionality reduction methods to visualize the intrinsic data structure in a low-dimensional

Data Analysis for Continuous School Improvement, Third Edition, is a call to action. It is about inspiring schools and school districts to commit to continuous school improvement by providing a framew

《信息科學與技術叢書：World Wind Java三維地理信息系統開發技術指南》遵循LGPL協議。用戶可以在它的基礎上定制和開發“自己”的二維或三維地理信息平臺和應用系統。由於語言障礙及資料的缺乏，World Wind在國內實際應用始終未普及。筆者綜合多年地理信息系統（GIS）開發經驗，對World Wind Java的開發環境的建設、應用部署、實用功能開發等內容進行了詳細的說明，並以三維物流平

《深入理解Java虛擬機：JVM高級特性與最佳實踐》第1版兩年內印刷近10次，4家網上書店的評論近4?000條，98%以上的評論全部為5星級的好評，是整個Java圖書領域公認的經典著作和超級暢銷書，繁體版在臺灣也十分受歡迎。第2版在第1版的基礎上做了很大的改進：根據最新的JDK 1.7對全書內容進行了全面的升級和補充；增加了大量處理各種常見JVM問題的技巧和最佳實踐；增加了若干與生產環境相結合的實

"This book provides an overview of data mining techniques under an ethical lens, investigating developments in research best practices and examining experimental cases to identify potential ethical di

A wide variety of organizations are both creating and retaining digital data from archaeological projects. While current methods for preservation and access to data vary widely, nearly all of these or

Data-intensive science has the potential to transform scientific research and quickly translate scientific progress into complete solutions, policies, and economic success. But this collaborative scie

Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes o