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Both inside and outside the health services, patients and healthy citizens give rise to increasing amounts of health data. They are created, collected, curated, stored and used for multiple purposes in a process I characterise as intensified data sourcing. This data intensification changes how we deal with health issues. In this chapter I reflect on similarities and differences between data flows mediated by public and private institutions, using Denmark as my primary example. Denmark in interesting ways prescribes a form of solidarity that might be associated with We Medicine: people deliver data in the process of receiving, or in exchange for, publicly financed healthcare; and the data can be used for research for the common good. The solidarity of the model is currently being challenged in various ways, however, as authorities circumvent the voluntariness of participation and begin seeing health data as business opportunities. Simultaneously, a private market in health data is emerging mediated by privately owned platforms. The chapter compares the public and commercial forms of data sourcing to explore what is at stake for individuals and society in those processes.
Data bases. --- Medicine. --- Public institutions.
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Relational databases. --- Relational data bases --- Databases
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Develop, test, and deploy decentralized applications for Ethereum platform About This Book Build your first Ethereum Dapp with Truffle: the most popular Ethereum development framework Build, compile, and deploy smart contracts in your development environment Embrace Blockchains and utilize it to create new generation of secured and scalable apps Who This Book Is For This book is for web developers who are interested in the new world blockchain. Some basic understanding of JavaScript and web services is required. No prior knowledge of Decentralized applications or blockchain is required. What You Will Learn Understand the fundamentals of Truffle and Web3 Build a decentralized application with Truffle, while choosing the correct Ethereum client Connect your Dapp to Ethereum clients including Geth, Parity, and Ganache Migrate and test your Dapp with the correct networks such as Ropsten and Rinkeby Package a decentralized application into a user-friendly product by integrating Truffle with JavaScript frameworks such as Angular, React and Vue Explore tools including Ethereum Package Manager, the Registrar and browser wallets, and exploit third-party smart contract libraries. Evaluate the common migration pitfalls and how to mitigate them In Detail Truffle is a world-class development environment, testing framework and asset pipeline for Ethereum, aiming to make life as an Ethereum developer easier. If you are a web developer wanting to try your hand at developing Dapps with Truffle, then this is the book for you. This book will teach you to write smart contracts and build Dapps with Truffle. You will begin with covering the basics of Truffle, briefly explaining how it integrates Solidity and Web3, in orderto start building a mini decentralized application. Also, you will dive into migration, testing and integrating Truffle with the use of popular JavaScript frameworks. Lastly, you will ship your decentralized application and package it into a product. Moreover, you will go through the best practices in Truffle,so as to increase your proficiency in building Dapps with Truffle. By the end of the book, you will be able to write smart contracts and build decentralized applications with Truffle on Ethereum blockchains. Style and approach An intuitive, step-by-step and engaging guide that will teach you to build a real-world, decentralized application with Truffle.
Distributed databases. --- Distributed data bases --- Distributed database systems --- Databases --- Cyberinfrastructure
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This book offers in 27 chapters a collection of all the technical aspects of specifying, developing, and evaluating the theoretical underpinnings and applied mechanisms of AI tools. Topics covered include neural networks, fuzzy controls, decision trees, rule-based systems, data mining, genetic algorithm and agent systems, among many others. The goal of this book is to show some potential applications and give a partial picture of the current state-of-the-art of AI. Also, it is useful to inspire some future research ideas by identifying potential research directions. It is dedicated to students, researchers and practitioners in this area or in related fields.
Databases. --- Data banks --- Data bases --- Databanks --- Database systems --- Computer files --- Electronic information resources --- Databases
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Fully revised and updated, Relational Database Design, Second Edition is the most lucid and effective introduction to relational database design available. Here, you'll find the conceptual and practical information you need to develop a design that ensures data accuracy and user satisfaction while optimizing performance, regardless of your experience level or choice of DBMS. Supporting the book's step-by-step instruction are three case studies illustrating the planning, analysis, and design steps involved in arriving at a sound design. These real-world examples include
Relational databases. --- Relational databases --- Database design. --- Data base design --- Relational data bases --- System design --- Databases
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Databases. --- Data banks --- Data bases --- Databanks --- Database systems --- Computer files --- Electronic information resources
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Proceedings of the 28th Annual International Conference on Very Large Data Bases held in Hong Kong, China on August 20-23, 2002. Organized by the VLDB Endowment, VLDB is the premier international conference on database technology.
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Thomas Kyte has a simple philosophy: You can treat Oracle as a black box and shove data inside of it, or you can learn how Oracle works and exploit it as a powerful computing environment. If you choose the latter, you will see there are few information management problems you cannot solve quickly and elegantly. Kyte has selected the most important features and techniques to discuss in Expert One-on-One Oracle, which he teaches in a proof-by-example manner. He discusses available features, implementing software using these features, and avoiding potential pitfalls.
Relational databases. --- Oracle (Computer file) --- Oracle7.3 --- Oracle 7.3 --- Personal Oracle7 --- Personal Oracle 7 --- Relational data bases --- Databases
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With their latest product, SAP S/4HANA, SAP is revolutionizing how we approach finance by re-architecting data persistency and merging accounts and cost elements. This book offers a fundamental introduction to SAP S/4HANA Finance. Dive into the three pillars of innovation including SAP Accounting powered by SAP HANA, SAP Cash Management, and SAP BI Integrated Planning. Find out about the new configuration options, updated data model, and what this means for reporting in the future. Geta first-hand look at the new user interfaces in SAP Fiori. Review new universal journal, asset accounting, material ledger, and account-based profitability analysis functionality. Examine the steps required to migrate to SAP S/4HANA Finance and walk through the deployment options. By using practical examples, tips, and screenshots, this book helps readers to:- Understand the basics of SAP S/4 Finance - Explore the new architecture, configuration options, and SAP Fiori - Examine SAP S/4 Finance migration steps - Assess the impact on business processes
Finance --- Databases --- Data banks --- Data bases --- Databanks --- Database systems --- Computer files --- Electronic information resources --- Data processing --- E-books
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What is knowledge and how is it represented? This book focuses on the idea of formalising knowledge as relations, interpreting knowledge represented in databases or logic programs as relational data and discovering new knowledge by identifying hidden and defining new relations. After a brief introduction to representational issues, the author develops a relational language for abstract machine learning problems. He then uses this language to discuss traditional methods such as clustering and decision tree induction, before moving onto two previously underestimated topics that are just coming to the fore: rough set data analysis and inductive logic programming. Its clear and precise presentation is ideal for undergraduate computer science students. The book will also interest those who study artificial intelligence or machine learning at the graduate level. Exercises are provided and each concept is introduced using the same example domain, making it easier to compare the individual properties of different approaches.
Computational learning theory. --- Machine learning. --- Relational databases. --- Relational data bases --- Databases --- Learning, Machine --- Artificial intelligence --- Machine theory --- Machine learning
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