Data Analytics and Management in Data Intensive Domains
23rd International Conference, DAMDID/RCDL 2021, Moscow, Russia, October 26-29, 2021, Revised Selected Papers
(Sprache: Englisch)
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...
The 16 revised full papers were carefully...
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Klappentext zu „Data Analytics and Management in Data Intensive Domains “
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.
Inhaltsverzeichnis zu „Data Analytics and Management in Data Intensive Domains “
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.
Bibliographische Angaben
- 2022, 1st ed. 2022, XIV, 263 Seiten, 64 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Alexei Pozanenko, Sergey Stupnikov, Bernhard Thalheim, Eva Mendez, Nadezhda Kiselyova
- Verlag: Springer, Berlin
- ISBN-10: 3031122844
- ISBN-13: 9783031122842
Sprache:
Englisch
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