Covering the general process of data analysis to finding, collecting, organizing, and presenting data, this book offers a complete introduction to the fundamentals of data analysis.Using real-wor
Data Journalism and the Regeneration of News traces the emergence and flourishing of data journalism through a scholarly lens. It presents evidence of how data journalists are mobilizing discursive, t
Analyzing Baseball Data with R Second Edition introduces R to sabermetricians, baseball enthusiasts, and students interested in exploring the richness of baseball data. It equips you with the necessar
Many librarians' job responsibilities increasingly require them to understand and handle data. Learn how to be an effective data librarian—even if you never expected to need data skills.• Acquaints re
This edited volume focuses on big data implications for computational social science and humanities from management to usage. The first part of the book covers geographic data, text corpus data, and s
The notion of data is increasingly encountered in spatial, creative and cultural studies. Big data and artificial intelligence are significantly influencing a number of disciplines. Processes, methods
Ether and Modernity offers a snapshot of the status of an epistemic object, the "ether" (or "aether"), in the early twentieth century. The contributed papers show that the ether was often regarded as
This SpringerBrief presents a typical life-cycle of mobile data mining applications, including:data capturing and processing which determines what data to collect, how to collect these data,
This book tackles the challenges of how to make sense of qualitative data. It offers students and researchers a hands-on guide to the practicalities of coding, comparing data, and using computer-assis
The main objectives of this book are to expose key aspects that have a relevance when dealing with open data viewed from different perspectives and to provide appealing examples of how open data is im
Did you know that the value of data usage has increased job opportunities, but that there are few specialists?These days, everyone is aware of the role that data can play, whether it is an election, b
"This book outlines the overview of the Big data. It presents the big data components organized as four layers such as: big data sources, data massaging and store layer, analysis layer, and consumptio
"The data economy" is a term used by many, but properly understood by few. Even more so the concept of "big data". Both terms embody the notion of a digital world in which many transactions and data f
Enjoy reading interviews with more than two dozen data professionals to see a picture of what it’s like to work in the industry managing and analyzing data, helping you to know what it takes to move f
This book will focus on the different aspects of handling big data in healthcare. It will showcase the current state-of-the-art technology used for storing health records and health data models. It wi
Large data sets arriving at every increasing speeds require a new set of efficient data analysis techniques. Data analytics are becoming an essential component for every organization and technologies
Java是從一種程式語言逐步發展為一種運算平台的技術。Java的前身是一種與平台無關的程式語言--Oak，它誕生於1991年Sun公司的一個研究計畫，該計畫最初的目的是為了發展一種與執行平台無關且可嵌入如烤麵包機和機上盒(Set top box)這類消費型電子設備的內嵌式系統程式語言，但該計畫並不是很成功。隨著1994年Internet開始起步，到1995年NetScape公司宣布把Java直譯器
To be effective, data-intensive systems require extensive ongoing customization to reflect changing user requirements, organizational policies, and the structure and interpretation of the data they ho
This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science. We have grown accustomed to seeing these terms mentioned time and
Everyone has that one object that holds deep meaning--some relic that speaks to our past, that carries a remarkable story. What We Keep will reveal the secret lives of objects--and the small, emotiona
Across millennia, dissent has been an essential ingredient in the development of human civilization, acting as a driving force behind social and political change. In I object, satirist Ian Hislop, alo
Use this practical guide to successfully handle the challenges encountered when designing an enterprise data lake and learn industry best practices to resolve issues.When designing an enterprise data
Mangkunagara I (1726-1795) was one of the most flamboyant figures of eighteenth-century Java. A charismatic rebel from 1740 to 1757 and one of the foremost military commanders of his age, he won the l
Panel Data Econometrics with R provides a tutorial for using R in the field of panel data econometrics. Illustrated throughout with examples in econometrics, political science, agriculture and epidemi
This book provides a comprehensive picture of mobile big data starting from data sources to mobile data driven applications. Mobile Big Data comprises two main components: an overview of mobile
Making extensive use of examples, this textbook on Java programming teaches the fundamental skills for getting started in a command-line environment. Meant to be used for a one-semester course to bu
Malware Data Science explains how to identify, analyze, and classify large-scale malware using machine learning and data visualization.Security has become a "big data" problem. The growth rate of malw
