Java Data Object

Teachers handle student data every day, but too often they are not provided with the guidance they need to protect student data privacy.

Teachers handle student data every day, but too often they are not provided with the guidance they need to protect student data privacy.

本書是一部系統論述Java編程語言的教程，主要內容包括緒論、開發環境搭建、第一個Java程序、Java語法基礎、數據類型、運算符、控制語句、數組、字符串、面向對象基礎、對象、繼承與多態、抽象類與接口、Java常用類、內部類、Lambda表達式、異常處理、集合、泛型、文件管理與I/O流、多線程編程、網絡編程、Swing圖形用戶界面編程、數據庫編程。本書最後給出了一個實戰項目――開發PetStore寵

本書採用知識模塊與實踐訓練相結合的方式組織課程內容，其主要內容如下：第1章～第3章 介紹了Java程序的結構以及編程基礎，包括：數據類型、變量、運算符以及表達式。第4章～第5章 介紹了Java的選擇結構，講解了if語句、ifelse語句、多重if語句以及switch語句。第6章～第7章 介紹了Java的循環結構，講解了while循環、dowhile循環、for循環以及跳轉語句。第8章 對面向過程編

Personal data is data about people. Researchers collect personal data to learn more about populations. Companies collect personal data online to help sell their products. Personal Data Collection expl

Much of the debate around the parameters of intellectual property (IP) protection relates to differing views about what IP law is supposed to achieve. This book analyses the object and purpose of inte

Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. Th

將程式部署至生產環境的必備工具與最佳做法“除了《Effective Java 3rd Edition》外，這本書是我的每位工程師都會購買的書籍，而且它將帶來千倍的回報！”—Martijn VerburgjClarity與LJC Leader CEO“Daniel與Abraham在本書廣泛探討大量的雲端基礎元件，以及持續交付的相關技術。對任何想要成為專業雲端Java開發者的人來說，這本書是他們的首選

The Deitels’ groundbreaking How to Program series offers unparalleled breadth and depth of programming fundamentals, object-oriented programming concepts and intermediate-level topics for further stud

本書結合最新的Tomcat 9版本，詳細介紹了開發Java Web應用的各種技術。主要內容包括：Tomcat和Java Web開發的基礎知識，Java Web開發的高級技術，在Java Web應用中運用第三方提供的實用軟件（如Spring、Velocity和Log4J）的方法，以及Tomcat的各種高級功能。書中內容注重理論與實踐相結合，列舉了大量具有典型性和實用價值的Web應用實例，並提供了詳細

《JavaWeb從入門到項目實踐（超值版）》採用“基礎知識→核心應用→核心技術→高級應用→項目實踐”結構和“從入門到項目實踐”的學習模式進行講解。《JavaWeb從入門到項目實踐（超值版）》共5篇22章，講解了Java Web開發環境及服務器的搭建，HTML和CSS的基礎知識，Web工程結構，JDBC基礎，Java與數據庫，Servlet基礎，Filter開發，Listener開發，JSP基礎語法

《Java Web從入門到精通（第3版）》從初學者角度出發，通過通俗易懂的語言、豐富多彩的實例，詳細介紹了進行Java Web應用程序開發需要掌握的各方面技術。全書共分21章，包括Java Web應用開發概述、HTML與CSS網頁開發基礎、JavaScript腳本語言、搭建開發環境、JSP基本語法、JSP內置對象、JavaBean技術、Servlet技術、過濾器和監聽器、Java Web的數據庫操作、EL（表達式語言）、JSTL標簽、Ajax技術、Struts2基礎、Struts2高級技術、Hibernate技術、Hibernate高級應用、Spring核心之IoC、Spring核心之AOP、SSM框架整合開發、九宮格記憶網等內容。本書所有知識都結合具體實例進行介紹，涉及的程序代碼給出了詳細的注釋，可以使讀者輕鬆領會Java Web應用程序開發的精髓，快速提高開發技能。

本書共分19章，其中第1～5章介紹程序設計基礎；第6～11章介紹面向對象程序設計；第12章介紹泛型和容器類；第13章和第14章介紹界面設計和事件處理；第15章介紹繪圖程序設計；第16章介紹Applet程序設計，第17章介紹Java數據庫編程，第18章介紹Java網絡編程。最後一章通過4個大型綜合案例對前面知識點進行綜合演練。

本書以面向對象程序設計的思想為主線，全面細緻地介紹了Java程序設計的基礎知識、特點及相關應用，注重引導讀者從C語言的以函數為主的面向過程程序設計，過渡到以類和對象為主的面向對象的程序設計。本書共分為12章，主要包括Java語言概述，類和對象，深入理解類及其成員，繼承、抽象類、接口和多態，數組與集合，異常和異常處理，輸入/輸出與文件管理，數據庫編程、多線程，Java網絡編程，JavaFX基礎和Ja

This volume will assist readers in fitting big data analysis into their service-based organizations.Volume I of this two-volume series focuses on the role of big data in service delivery systems. It d

Written by sought-after speaker, designer, and researcher Stephanie D. H. Evergreen, Effective Data Visualization shows readers how to create Excel charts and graphs that best communicate data finding

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. W

How to analyze data settings rather than data sets, acknowledging the meaning-making power of the local.In our data-driven society, it is too easy to assume the transparency of data. Instead, Yanni Lo

A groundbreaking, flexible approach to computer science and data scienceThe Deitels’ Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud o

Master data analysis, modeling and the effective use of spreadsheets with the popular BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 7E. The quantitative methods approach in this edition helps

Data has become a social and political issue because of its capacity to reconfigure relationships between states, subjects, and citizens. This book explores how data has acquired such an important cap

全書共分為三個部分，第一部分是Java語言程序設計，包括環境的搭建、變量、函數、表達式和語句、程序的結構、面向對象的基本思想和JDBC數據庫編程；第二部分是Java Web技術，包括Web的工作原理、基本的HTML及HTML5標簽、CSS3和JavaScript基礎、jQuery和Ajax，以及從Java到Web應用相關的知識點，包括JSP、JSTL、JavaBean、Servlet、過濾器和監聽

The eighth edition of Multivariate Data Analysis provides an updated perspective on the analysis of all types of data as well as introducing some new perspectives and techniques that are foundational

Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world’s two most widespread open-source platforms for data science: Python and R.Data scien

This book is about constructing models from experimental data. It covers a range of topics, from statistical data prediction to Kalman filtering, from black-box model identification to parameter estim

本書從初學者角度出發, 通過通俗易懂的語言、豐富多彩的實例, 詳細介紹了使用Java語言進行程序開發需要掌握的知識。全書分為27章, 包括初識Java, 熟悉Eclipse開發工具, Java語言基礎, 流程控制, 字符串, 數組, 類和對象, 包裝類, 數字處理類, 接口、繼承與多態, 類的高級特性, 異常處理, Swing程序設計, 集合類, I/O (輸入/輸出), 反射, 枚舉類型與泛型,

本書采用項目驅動模式，以“辦公固定資產管理系統”綜合實訓項目貫穿全書，并精選了大量編程實例，詳細講解了Java程序設計的基本原理、開發方法、開發過程和解決實際問題的技巧，使初學者能夠快速掌握利用Java設計開發可視化程序以及使用Java開發Windows應用程序的方法。 全書共10章，分為3個部分。基礎部分(第1～8章)主要介紹了Java語言基礎、程序設計的原理和開發方法。其中，第1～3章介紹了E

Written in lucid language, this valuable textbook brings together fundamental concepts of data mining and data warehousing in a single volume. Important topics including information theory, decision tree, Naïve Bayes classifier, distance metrics, partitioning clustering, associate mining, data marts and operational data store are discussed comprehensively. The textbook is written to cater to the needs of undergraduate students of computer science, engineering and information technology for a course on data mining and data warehousing. The text simplifies the understanding of the concepts through exercises and practical examples. Chapters such as classification, associate mining and cluster analysis are discussed in detail with their practical implementation using Weka and R language data mining tools. Advanced topics including big data analytics, relational data models and NoSQL are discussed in detail. Pedagogical features including unsolved problems and multiple-choice questions are

Large-scale data analytics using machine learning (ML) underpins many modern data-driven applications. ML systems provide means of specifying and executing these ML workloads in an efficient and scala

Firms are collecting and analyzing customer data at an ever increasing rate in response to evidence that data analytics (precision targeting, improved selling) generates a positive return. Yet e

This book looks at various application and data demand drivers, along with data infrastructure options from legacy on premise, public cloud, hybrid, software-defined data center (SDDC), software data

Haunted Data explores the concepts that are at work in our complex relationships with data. Our engagement with data – big or small – is never as simplistic or straightforward as might first appear. I

Human resources is rapidly evolving into a data-rich field but with big data comes big decisions. The best companies understand how to use data to make strategic workforce decisions and gain significa

Human resources is rapidly evolving into a data-rich field but with big data comes big decisions. The best companies understand how to use data to make strategic workforce decisions and gain significa

While traditional databases excel at complex queries over historical data, they are inherently pull-based and therefore ill-equipped to push new information to clients. Systems for data stream managem

Get hands-on experience implementing 26 of the most common design patterns using Java and Eclipse. In addition to Gang of Four (GoF) design patterns, you will also learn about alternative design

"This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist."- Professor Charles Bouveyron, INRIA Chair in Data Science

Look at Python from a data science point of view and learn proven techniques for data visualization as used in making critical business decisions. Starting with an introduction to data science with Py

本書是“十二五”普通高等教育本科國家級規劃教材。本書全面介紹Java語言程序設計的基礎知識、運行機制、多種編程方法和技術，力求建立牢固扎實的理論基礎，系統、有序地進行程序設計和面向對象方法的基礎訓練；為操作系統、數據庫應用、網絡通信、Web應用等軟件領域的實際應用問題，提供基於Java技術的解決方案。本書主要內容包括：Java開發運行環境JDK和MyEclipse，Java語言基礎，類的封裝、繼承

What is data governance? And what are the principles and techniques you can leverage as a business or IT professional to make data governance successful within your organization?Data Governance will a