A Comprehensive Guide with 70+ ExamplesGet the Kindle version FREE when purchasing the Paperback!The second book in the Step-By-Step Java Series delves further into practical Java programming. We beli
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
Since the early 2000s, digital data has transformed the way we live and work. This timely book looks to big data analytics to understand this revolutionary change, unpacking the impact of big data ana
Build and deploy secure Spring Framework and Spring Boot-based enterprise Java applications with the Spring Security Framework. This book explores a comprehensive set of functionalities to implement i
How to create an Internet of Trusted Data in which insights from data can be extracted without collecting, holding, or revealing the underlying data.Trusted Data describes a data architecture that pla
Avoid data blunders and create truly useful visualizations Avoiding Data Pitfalls is a reputation-saving handbook for those who work with data, designed to help you avoid the all-too-common blunders t
Presents the latest techniques for analyzing and extracting information from large amounts of data in high-dimensional data spaces The revised and updated third edition of Data Mining contains in one
本書的前7章內容主要是敘述程序語言的基礎,包含基本運算、流程控制、循環控制與數組。筆者使用了大量的圖例與程序實例引導讀者,只要配合書中實例操作與執行,就可以獲得Java程序設計能力。第8~25章是Java面向對象的核心,筆者在說明整體概念時,也講明瞭Java內建類的使用以及核心內容,例如正則表達式、繼承與多形、抽象類、接口、包裝類別、程序異常處理、多線程、輸入與輸出、壓縮與解壓縮文件、Java C
What if you sliced data and found a huge problem or opportunity? Data did its job, but now it needs a storyteller. The way insights are communicated could reverse or increase the trajectory of data. T
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
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
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