Data Analytics and Management in Data Intensive Domains

21st International Conference, DAMDID/RCDL 2019, Kazan, Russia, October 15–18, 2019, Revised Selected Papers

Sergey Stupnikov editor Alexander Elizarov editor

Format:Paperback

Publisher:Springer Nature Switzerland AG

Published:14th Jul '20

Currently unavailable, and unfortunately no date known when it will be back

Data Analytics and Management in Data Intensive Domains cover

This book provides insights from the 21st International Conference on Data Analytics and Management in Data Intensive Domains, showcasing significant research and methodologies.

The book titled Data Analytics and Management in Data Intensive Domains presents the post-conference proceedings from the 21st International Conference on Data Analytics and Management in Data Intensive Domains, known as DAMDID/RCDL 2019. This conference took place in Kazan, Russia, in October 2019, gathering experts and scholars from around the globe to discuss advancements in data analytics. The proceedings include a collection of significant contributions that highlight the latest research and methodologies in the field.

Within the pages of Data Analytics and Management in Data Intensive Domains, readers will find 11 carefully revised full papers, alongside four invited papers. These works were selected from a total of 52 submissions, showcasing the most pertinent and innovative ideas presented at the conference. Each paper underwent a rigorous review process to ensure high-quality content and relevance to current trends in data-intensive environments.

The papers are organized into several topical sections, covering a diverse range of subjects such as advanced data analysis methods, data infrastructures, integrated information systems, and applications in various domains including astronomy and education. Additionally, topics like information extraction from text and distributed computing are discussed, making this book a comprehensive resource for researchers and practitioners interested in the evolving landscape of data analytics and management.

ISBN: 9783030519124

Dimensions: unknown

Weight: unknown

247 pages

1st ed. 2020