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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 de Alexei Pozanenko

Data Analytics and Management in Data Intensive Domains: 23rd International Conference, DAMDID/RCDL 2021, Moscow, Russia, October 26–29, 2021, Revised Selected Papers: Communications in Computer and Information Science, cartea 1620

Editat de Alexei Pozanenko, Sergey Stupnikov, Bernhard Thalheim, Eva Mendez, Nadezhda Kiselyova
en Limba Engleză Paperback – 26 iul 2022
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.
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Specificații

ISBN-13: 9783031122842
ISBN-10: 3031122844
Pagini: 263
Ilustrații: XIV, 263 p. 82 illus., 64 illus. in color.
Dimensiuni: 155 x 235 x 22 mm
Greutate: 0.4 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Communications in Computer and Information Science

Locul publicării:Cham, Switzerland

Cuprins

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.