Vai al contenuto principale della pagina
| Titolo: |
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
|
| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Edizione: | 1st ed. 2022. |
| Descrizione fisica: | 1 online resource (272 pages) |
| Disciplina: | 354.81150006 |
| Soggetto topico: | 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 | |
| Persona (resp. second.): | PozanenkoAlexei |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Nota di contenuto: | 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. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Data Analytics and Management in Data Intensive Domains ![]() |
| ISBN: | 3-031-12285-2 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910585789103321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |