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Data Analytics and Management in Data Intensive Domains : 23rd International Conference, DAMDID/RCDL 2021, Moscow, Russia, October 26-29, 2021, Revised Selected Papers / edited by Alexei Pozanenko, Sergey Stupnikov, Bernhard Thalheim, Eva Mendez, Nadezhda Kiselyova.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Communications in computer and information science 1865-0937 ; 1620
- Communications in Computer and Information Science, 1865-0937 ; 1620
- Language:
- English
- Subjects (All):
- Data mining.
- Artificial intelligence.
- Application software.
- Social sciences-Data processing.
- Image processing-Digital techniques.
- Computer vision.
- Software engineering.
- Data Mining and Knowledge Discovery.
- Artificial Intelligence.
- Computer and Information Systems Applications.
- Computer Application in Social and Behavioral Sciences.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Software Engineering.
- Local Subjects:
- Data Mining and Knowledge Discovery.
- Artificial Intelligence.
- Computer and Information Systems Applications.
- Computer Application in Social and Behavioral Sciences.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Software Engineering.
- Physical Description:
- 1 online resource (XIV, 263 pages) : 82 illustrations, 64 illustrations in color.
- Edition:
- 1st ed. 2022.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2022.
- System Details:
- text file PDF
- Summary:
- This book constitutes the post-conference proceedings of the 23rd International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2021, held in Moscow, Russia, in October 2021*. The 16 revised full papers were carefully reviewed and selected from 61 submissions. The papers are organized in the following topical sections: problem solving infrastructures, experiment organization, and machine learning applications; data analysis in astronomy; data analysis in material and earth sciences; information extraction from text * The conference was held virtually due to the COVID-19 pandemic.
- Contents:
- Problem Solving Infrastructures, Experiment Organization, and Machine Learning Applications
- MLDev: Data Science Experiment Automation and Reproducibility Software
- Response to Cybersecurity Threats of Informational Infrastructure Based on Conceptual Models
- Social Network Analysis of the Professional Community Interaction - Movie Industry Case
- Data Analysis in Astronomy
- Cross-Matching of Large Sky Surveys and Study of Astronomical Objects Apparent in Ultraviolet Band Only
- The Diversity of Light Curves of Supernovae Associated with Gamma-Ray Bursts
- Application of Machine Learning Methods for Cross-Matching Astronomical Catalogs
- Pipeline for Detection of Transient Objects in Optical Surveys
- VALD in Astrophysics
- Data Analysis in Material and Earth Sciences
- Machine Learning Application to Predict New Inorganic Compounds - Results and Perspectives
- Interoperability and Architecture Requirements Analysis and Metadata Standardization for a Research Data Infrastructure in Catalysis
- Fast Predictions of Lattice Energies by Continuous Isometry Invariants of Crystal Structures
- Image Recognition for Large Soil Maps Archive Overview: Metadata Extraction and Georeferencing Tool Development
- Information Extraction from Text
- Cross-lingual Plagiarism Detection Method
- Methods for Automatic Argumentation Structure Prediction
- A System for Information Extraction from Scientific Texts in Russian
- Improving Neural Abstractive Summarization with Reliable Sentence Sampling.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-031-12285-9
- 9783031122859
- Access Restriction:
- Restricted for use by site license.
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