Refining the Concept of Scientific Inference When Working with Big Data
Publisher: National Academies Press 2017
Number of pages: 115
Using big data analytics to identify complex patterns hidden inside volumes of data that have never been combined could accelerate the rate of scientific discovery and lead to the development of beneficial technologies and products.
Home page url
Download or read it online for free here:
by Arno Jan Knobbe - IOS Press
This thesis is concerned with Data Mining: extracting useful insights from large collections of data. With the increased possibilities in modern society for companies and institutions to gather data, this subject has become of increasing importance.
by Tony Gill, at al. - Getty Publications
This book provides an overview of metadata, its types, roles, and characteristics; a discussion of metadata as it relates to resources on the Web; a description of methods, tools, standards, and protocols used to publish digital collections; etc.
by Christian S. Jensen - Aalborg University
Topics covered: the semantics of temporal data, the design of data models and languages for temporal data, the design of databases expressed in terms of temporal data models as well as temporally enhanced design of conventional databases.
by Clinton Gormley, Zachary Tong - O'Reilly
Whether you need full-text search or real-time analytics of data, this book introduces you to the fundamental concepts required to start working with Elasticsearch. With these foundations laid, it will move on to more-advanced search techniques.