Data Analytics and Management in Data Intensive Domains: 23rd International Conference, DAMDID/RCDL 2021, Moscow, Russia, October 26-29, 2021, Revised Selected Papers

This book contains the revised full papers from the 23rd International Conference on Data Analytics and Management in Data Intensive Domains, held in Moscow, Russia, in October 2021. The papers cover topics such as problem solving infrastructures, experiment organization, machine learning applications, data analysis in astronomy, material and earth sciences, and information extraction from text.

Format: Paperback / softback
Length: 263 pages
Publication date: 26 July 2022
Publisher: Springer International Publishing AG

The 23rd International Conference on Data Analytics and Management in Data Intensive Domains,DAMDID/RCDL 2021, was held in Moscow, Russia, in October 2021. This book serves as the post-conference proceedings, encompassing a selection of 16 revised full papers that underwent rigorous review and selection from a total of 61 submissions. The papers are organized into three topical sections: problem-solving infrastructures, experiment organization, and machine learning applications.

Data analysis in astronomy is explored, encompassing techniques and applications related to astronomical data. Similarly, data analysis in material and earth sciences is covered, highlighting the utilization of data-driven approaches to understand geological processes and materials. Information extraction from text is also discussed, emphasizing the use of machine learning and natural language processing methods to extract valuable information from textual data.

Unfortunately, due to the COVID-19 pandemic, the conference was held virtually, limiting in-person interactions and networking opportunities. However, the virtual format allowed for the participation of a broader audience, ensuring the dissemination of research findings and fostering intellectual exchange among participants from around the world.

Overall, this book provides a valuable resource for researchers, practitioners, and students interested in data analytics and management in data-intensive domains. It showcases the latest advancements and innovations in this field, offering insights into the challenges and opportunities faced by researchers and practitioners in this rapidly evolving domain.

Weight: 433g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031122842
Edition number: 1st ed. 2022