Using Scribe Insight Developing Integrations and Migrations using the Scribe…

Understand how to utilize the workbench, console, adapters, publisher, and other components in Scribe to ensure you have a rapid development toolkit that will drastically reduce your workload and timeline. In Using Scribe Insight, you’ll learn to build your integrations and migrations with the minimal amount of effort, what shortcuts can be taken to simplify and reduce your labor, and what te…

Unsupervised Learning Algorithms

This book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how with the proliferation of massive amounts of unlabeled data, unsupervised learning algorithms, which can automatically discover interesting and useful patterns in such data, have gained popularity among researchers and practitioners. The authors outline how these algorithms have found numerous appli…

Encyclopedia of Big Data

This encyclopedia will be an essential resource for our times, reflecting the fact that we currently are living in an expanding data-driven world. Technological advancements and other related trends are contributing to the production of an astoundingly large and exponentially increasing collection of data and information, referred to in popular vernacular as “Big Data.” Social media and c…

Relationale Datenbanken

Edition

1

ISBN/ISSN

978-3-662-22380-2

Collation

Business Mathematics,

Series Title

-

Call Number

650

Grundkurs Relationale Datenbanken

Dieses Buch richtet sich an Studierende und IT-ler in Ausbildung und Beruf, die ohne unnötigen Theorieballast die Praxis der Entwicklung von Datenbankapplikationen erlernen möchten. Es ist als anwendungsorientiertes Lehrbuch aufgebaut und eignet sich für den Unterricht sowie zum Selbststudium. Praxisnah und verständlich werden die Themen Datenmodellierung, Datenbankentwicklung und Datenbank…

Sublinear Computation Paradigm: Algorithmic Revolution in the Big Data Era

This open access book gives an overview of cutting-edge work on a new paradigm called the “sublinear computation paradigm,” which was proposed in the large multiyear academic research project “Foundations of Innovative Algorithms for Big Data.” That project ran from October 2014 to March 2020, in Japan. To handle the unprecedented explosion of big data sets in research, industry, and ot…

The Optimal Homotopy Asymptotic Method

This book emphasizes in detail the applicability of the Optimal Homotopy Asymptotic Method to various engineering problems. It is a continuation of the book “Nonlinear Dynamical Systems in Engineering: Some Approximate Approaches”, published at Springer in 2011 and it contains a great amount of practical models from various fields of engineering such as classical and fluid mechanics, thermo…

Data Paradoxes: The Politics of Intensified Data Sourcing in Contemporary Hea…

Why healthcare cannot—and should not—become data-driven, despite the many promises of intensified data sourcing. In contemporary healthcare, everybody seems to want more data, of higher quality, on more people, and to use this data for a wider range of purposes. In theory, such pervasive data collection should lead to a healthcare system in which data can quickly, efficiently, and unambi…