Java Data Object

本書以幽默詼諧的寫作方式，由淺入深、圖文並茂地講解了使用Java進行程序開發所需要的知識和技術。結合具體實例，書中介紹了變量、基本數據類型、控制流程等基本概念，以及泛型、lambda、JavaFX等高級概念，同時論述了如何正確編寫面向對象程序，哪些是好的、哪些是壞的編程習慣，如何讓代碼可讀性更強，面向服務架構和函數式編程的區別，如何測試，等等。除此之外，書中還講解了XML、CSS、SQL等相關知識

The idea of a right to privacy, which arose in reaction to the rapid rise of newspapers, instant photography and the “paparazzi” of the 19th century, has evolved into a constitutional right in much of the developed world. It is enshrined in Hong Kong through Articles 28, 29, 30 and 39 of the Basic Law. Hong Kong stands proud as the first jurisdiction in Asia to enact legislation to safeguard personal data in the form of the Personal Data (Privacy) Ordinance, Cap 486 (“the Ordinance”) which came into force in 1996. At its centre are the six Data Protection Principles based on the 1980 OECD Guidelines. The office of the Privacy Commissioner for Personal Data was created under this legislation to provide oversight and ensure compliance. The Octopus scandal in mid-2010 eventually led to substantial changes being made to the Ordinance that were enacted in 2012 and 2013, the main amendments being the Direct Marketing provisions and the provision of legal assistance and representation to aggr

Biology has entered the age of Big Data. A technical revolution has transformed the field, and extracting meaningful information from large biological data sets is now a central methodological challenge. Algebraic topology is a well-established branch of pure mathematics that studies qualitative descriptors of the shape of geometric objects. It aims to reduce comparisons of shape to a comparison of algebraic invariants, such as numbers, which are typically easier to work with. Topological data analysis is a rapidly developing subfield that leverages the tools of algebraic topology to provide robust multiscale analysis of data sets. This book introduces the central ideas and techniques of topological data analysis and its specific applications to biology, including the evolution of viruses, bacteria and humans, genomics of cancer, and single cell characterization of developmental processes. Bridging two disciplines, the book is for researchers and graduate students in genomics and evolu

In the first half of the nineteenth century autobiography became, for the first time, an explicitly commercial genre. Drawing together quantitative data on the Victorian book market, insights from the business ledgers of Victorian publishers and close readings of mid-century novels, Sean Grass demonstrates the close links between these genres and broader Victorian textual and material cultures. This book offers fresh perspectives on major works by Charles Dickens, George Eliot, Mary Elizabeth Braddon, Wilkie Collins and Charles Reade, while also featuring archival research that reveals the volume, diversity, and marketability of Victorian autobiographical texts for the first time. Grass presents life-writing not as a stand-alone genre, but as an integral part of a broader movement of literary, cultural, legal and economic practices through which the Victorians transformed identity into a textual object of capitalist exchange.

Seismic data must be interpreted using digital signal processing techniques in order to create accurate representations of petroleum reservoirs and the interior structure of the Earth. This book provides an advanced overview of digital signal processing (DSP) and its applications to exploration seismology using real-world examples. The book begins by introducing seismic theory, describing how to identify seismic events in terms of signals and noise, and how to convert seismic data into the language of DSP. Deterministic DSP is then covered, together with non-conventional sampling techniques. The final part covers statistical seismic signal processing via Wiener optimum filtering, deconvolution, linear-prediction filtering and seismic wavelet processing. With over sixty end-of-chapter exercises, seismic data sets and data processing MATLAB codes included, this is an ideal resource for electrical engineering students unfamiliar with seismic data, and for Earth Scientists and petroleum pr

The question of what types of data and evidence can be used is one of the most important topics in linguistics. This book is the first to comprehensively present the methodological problems associated with linguistic data and evidence. Its originality is twofold. First, the authors' approach accounts for a series of unexplained characteristics of linguistic theorising: the uncertainty and diversity of data, the role of evidence in the evaluation of hypotheses, and the problem solving strategies, as well as the emergence and resolution of inconsistencies. Second, the findings are obtained by the application of a new model of plausible argumentation which is also of relevance from a general argumentation theoretical point of view. All concepts and theses are systematically introduced and illustrated by a number of examples from different linguistic theories, and a detailed case-study section shows how the proposed model can be applied to specific linguistic problems.

Your logical, linear guide to the fundamentals of data science programming Data science is exploding--in a good way--with a forecast of 1.7 megabytes of new information created every second for each h

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, an

Statistics, Data Mining, and Machine Learning in Astronomy is the essential introduction to the statistical methods needed to analyze complex data sets from astronomical surveys such as the Panoramic

The successful collection of data is a key challenge to obtaining reliable and valid results in applied linguistics research. Data Collection Research Methods in Applied Linguistics investigates how r

A Practical Approach to Data Structure and Algorithm with Programming in C discusses about how data structure and algorithm plays out with programming in C. This book comprises topics such as algorith

《Java系統性能優化實戰》基於作者在實際工作中遇到的與系統相關的問題及解決之道，通過改善代碼來提高系統性能，解決因為代碼導致的系統故障。本書介紹了如何在系統中運用高性能開源工具，以及代碼優化和設計技巧來提升性能。另外，如何編寫維護性強的代碼也在本書的寫作範疇內。本書還介紹了一些底層技術，比如Java字節碼、ASM和JSR269，這些技術同樣可以運用在項目中，以輔助提升性能和方便維護代碼。《Jav

本書是計算機核心課程系列的經典教材, 內容豐富, 總體上可分為兩部分: 第一部分是Java編程基礎; 第二部分是複雜數據結構的Java設計與實現, 專為兩學期的課程而設計。全書包括緒論、數據與表述式、使用類和對象、條件與循環、編寫類、圖形化用戶界面、數組、繼承、多態、異常、算法分析、集合與棧、鏈式結構與棧、隊列、列表、迭代器、遞歸、搜索與排序、樹、二叉搜索樹、堆與優先隊列、集與映射、多路搜索樹、圖

After a short description of the key concepts of big data the book explores on the secrecy and security threats posed especially by cloud based data storage. It delivers conceptual frameworks and mode

Intelligent Data Mining and Fusion Systems in Agriculture presents methods of computational intelligence and data fusion that have applications in agriculture for the non-destructive testing of agricu

In this book, the founder of object-oriented ontology develops his view that aesthetics is the central discipline of philosophy. Whereas science must attempt to grasp an object in terms of its observa

In this book, the founder of object-oriented ontology develops his view that aesthetics is the central discipline of philosophy. Whereas science must attempt to grasp an object in terms of its observa

本書以學習筆記的形式循序漸進地講解了使用Java語言的核心知識，並通過具體實例的實現過程講解了各個知識點的使用方法和流程。本書簡潔而不失其技術深度，內容豐富全面，歷史資料翔實齊全。並且本書易於閱讀，以極簡的文字介紹了複雜的案例，同時涵蓋了其他同類圖書中很少涉及的歷史參考資料，對於讀者學習Java語言大有幫助。

本書面向所有以Java編程語言為工作中心的開發人員和系統管理員，分為3大部分。第一部分著重介紹了JVM和自適應運行時的工作原理，並以JRockit為例專門介紹到底什麼是好的Java代碼。第二部分介紹JRockit Mission Control套件的具體功能，以及如何使用JRockit Mission Control套件來查找應用程序的性能瓶頸。第三部分介紹Java發展方向。

全書共兩冊, 上冊為核心技術篇, 下冊為強化訓練篇。核心技術篇共22章, 包括Java概述、使用IDE集成開發工具、Java語言基礎知識、流程控制、數組應用、面向對象編程、字符串處理、類的繼承與多態特性、其他類特性與異常處理、Swing編程基礎、多線程編程、事件處理的應用、常用工具類、常用集合類、數據庫編程應用、輸入輸出流與文件、網絡程序設計、表格控件的應用、樹控件的應用、其他高級控件、圖形繪製技

本書完整介紹了Java軟件開發的整個生命週期，還結合大量的成功實踐經驗，介紹了每個階段可能會使用到的工具和技能。在基礎設施已經極大完善的今天，本書還與時俱進地介紹了如何在Docker、Kubernetes、Cloud、FaaS等新興環境下進行持續集成和持續交付。

本書結構合理，語言簡練，內容深入淺出，以案例匯總各章知識點，使讀者學而知其用，體現Java編程語言的實戰性特點。

Gathering Social Network Data provides an important complement to existing books that focus on social network analysis, and offers more detailed coverage than is available in existing chapter-length t

Cluster analysis finds groups in data automatically. Most methods have been heuristic and leave open such central questions as: how many clusters are there? Which method should I use? How should I handle outliers? Classification assigns new observations to groups given previously classified observations, and also has open questions about parameter tuning, robustness and uncertainty assessment. This book frames cluster analysis and classification in terms of statistical models, thus yielding principled estimation, testing and prediction methods, and sound answers to the central questions. It builds the basic ideas in an accessible but rigorous way, with extensive data examples and R code; describes modern approaches to high-dimensional data and networks; and explains such recent advances as Bayesian regularization, non-Gaussian model-based clustering, cluster merging, variable selection, semi-supervised and robust classification, clustering of functional data, text and images, and co-cl

Big Data is everywhere. It shapes our lives in more ways than we know and understand. This comprehensive introduction unravels the complex terabytes that will continue to shape our lives in ways imagi

本書內容分為軟件架構理論、軟件架構高級技能、軟件架構綜合技能以及軟件架構創新四大部分。第壹部分是第1、2章，介紹了軟件架構師練就的方法、軟件架構設計模式、軟件架構開發模型、軟件架構模式、軟件架構思維、軟件架構編程思想以及軟件架構設計原則等，為軟件架構設計的基本理論；第二部分是第3~5章，介紹了軟件架構師必備的工具體系、Java機制技能要點專題、Java後臺技術棧技能要點專題以及日誌架構設計、安全架

A guide to all aspects of experimental design and data analysis for fMRI experiments, completely revised and updated for the second edition. Functional magnetic resonance imaging (fMRI), which allows

Symbolic data analysis is a relatively new field that provides a range of methods for analyzing complex datasets. Standard statistical methods do not have the power or flexibility to make sense of ver

本書共四冊，從零起步介紹關於Python、Java、C#、CSS這四種常用編程語言的基礎知識和實踐技巧。作者將以淺顯易懂的方式來講解看似複雜的概念，並通過精選項目來闡述相關問題，進而使你更加深入地理解Python、Java、C#、CSS編程的知識。本書四冊全部提供項目的源代碼以及附錄內容，供讀者下載並學習。本書適合無編程基礎的讀者閱讀。

本書以java語言為基礎，將面向對象的思想融人到數據結構設計和算法設計之中， 通過精選基礎理論內容、降低理論難虔和抽象性、加強實踐環節等措施來提高學生的 面向對象程序設計理論知識水平和增強學生實踐操作應用能力,並力求以全國計算機等級考試大綱中對於數據結構與算法考核知識點為基準，組織和設計教材，同時，基於Java語言已經提供了諸如棧、P人列、鏈表、字符串、數組、集合等內S數據結構的狀況，兼顧大數據技

One of the "six best books for data geeks" - Financial TimesWith over 200 images and extensive how-to and how-not-to examples, this new edition has everything students and scholars need to u

One of the "six best books for data geeks" - Financial Times With over 200 images and extensive how-to and how-not-to examples, this new edition has everything students and scholars need to understand

本書以網上書店網站為載體，通過項目化課程方式進行編排。從環境搭建、網站編碼、留言板開發、常用組件的使用、JSP標準標簽庫的使用、網站維護與推廣這幾個方面，介紹基於Java平臺構建動態網站的過程和方法，充分展示了JSP開發網站的優越性。全書共分為八個項目。

本書基於TOPCARES-CDIO工程化教育理念，以“貪吃蛇遊戲”作為案例進行項目驅動，圍繞項目開發所需知識進行內容組織，在保證實用性的同時兼顧知識的系統性。全書共分為 5 個單元，前 4 個單元系統論述了Java基礎語法（包括變量和表達式、程序控制結構、字符串和數組）、面向對象程序設計的概念（包括特徵和原則、類定義語法、繼承和多態、抽象類和接口、枚舉和泛型等）、Java Swing圖形化界面編程

《Java Web開發基礎――從Servlet到JSP(第2版)》介紹了web開發最基礎的東西，學習Java web開發沒辦法回避的問題。它從初學者的角度看問題，總是提出一個問題，解決這個問題，引發新的問題，再解決新的問題，始終跟著問題走，當問題一個個解決掉時，你會發現，你已經可以完成一個像模像樣的系統了。這本書從Servlet出發，按照技術發展的脈絡，一路走到了JSP，再走到設計模式，最後將你送

內容簡介:行動應用大趨勢，企業網站新主流由前端到後端，由基礎程式到應用框架，本書一次蒐錄！行動應用的潮流裡，隨著前端技術的成熟，響應式網頁設計(RWD)為企業提供比APP更快速、更具成本競爭力的解決方案，是不可忽視的趨勢。作者結合實務開發與課堂教學經驗，由淺入深地介紹掌握這波趨勢必要知能：‧前端網頁應用程式：包含HTML、CSS、JavaScript、JQuery與Bootstrap。本書著重已知元件和函式庫的應用，美編設計與前端程式開發不在包含範圍。‧Sevlet、JSP與網站伺服器：說明Java EE的容器元件架構，並以網站開發的Model-View-Controller思維貫穿篇章，縷述元件開發細節。‧Java網站框架：包含Spring的DI、AOP、JDBCTemplate，Spring MVC與SiteMesh。最後，著眼於現代網站多具備亮眼的使用者介面(User Interface)，本書以合法授權的Bootstrap企業級模板為基礎綜合實作，完整呈現建構Java RWD Web必備的知識與技能。

本書向讀者展示Java語言中更加智能化的編碼實例。書中首先介紹面向對象編程(OOP)和函數式編程(FP)範式，然後描述常用設計模式的經典使用方法，並解釋如何利用函數式編程特性改變經典的設計模式。讀者將學習混合使用OOP和FP的實現方式，然後學習響應式編程模型――一種為了編寫更好的代碼而將OOP和FP結合使用的方法。之後，本書將介紹從MVC架構向微服務和無服務器架構轉變的發展趨勢，*後介紹Java新

Engaging and accessible, this book offers students a complete guide to using NVivo for qualitative data analysis. Drawing on their wealth of expertise, the authors offer detailed, practical advice tha

Engaging and accessible, this book offers students a complete guide to using NVivo for qualitative data analysis. Drawing on their wealth of expertise, the authors offer detailed, practical advice tha

Master business modeling and analysis techniques with Microsoft Excel 2019, and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focuse