Data Analytics and Management in Data Intensive Domains : 26th International Conference, DAMDID/RCDL 2024, Nizhny Novgorod, Russia, October 23–25, 2024, Revised Selected Papers / / edited by Panos Pardalos, Eduard Babkin, Nikolay Zolotykh, Sergey Stupnikov

• Autore: Pardalos Panos
• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026
• Edizione: 1st ed. 2026.
• Descrizione fisica: 1 online resource (427 pages)
• Disciplina: 005.74
• 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
• Altri autori: BabkinEduard ZolotykhNikolay StupnikovSergey
• Nota di contenuto: -- Conceptual Modeling and Ontologies. -- An Approach to Information Security Domain Analysis for Building a Research Infrastructure. -- Approach to Developing a Machine Learning Ontology. -- Metagraph Operations using Bigraph Representation. -- Ontology and Knowledge Graph of Mathematical Physics in the Semantic Library MathSemanticLib. -- Data Quality Assessment in Large Spectral Data Collections. States and Transitions. -- Generative and Transformer-Based Models. -- Explaining Transformer-Based Models: a Comparative Study of flan-T5 and BERT Using Post-Hoc Methods. -- Exploring Fine-Tuned Generative Models for Keyphrase Selection: A Case Study for Russian. -- Applying Generative Neural Networks to Extract Argument Relations from Scientific Communication Texts. -- An Experimental Study on Cross-Domain Transformer-Based Term Recognition for Russian. -- On Open Datasets for LLM Adversarial Testing. -- An LLM Approach to Fixing Common Code Issues in Machine Learning Projects. -- Machine Learning Methods and Applications. -- Verifying Factographic Content in Narrative Texts. -- Decoding the Past: Building a Comprehensive Glagolitic Dataset for Historical Text Analysis. -- Real-Bogus Classification for ZTF Data Releases: Two Approaches. -- Prospects for the Use of Artificial Intelligence for Hydrometeorology. -- Statistical Methods and Applications. -- Model for Assessing the Need to Involve Users of Social Networks in a Healthy LifeStyle and Giving up Bad Habits According to the Data of a Social Network. -- Exploring Patterns of Information Literacy Development in Schools: Application of Multilevel Latent Class Analysis to School Students Survey Data. -- Development and Implementation of Software Application for Comparative Analysis of the Estimates of the Complexity of Text Data. -- bXES: a Binary Format for Storing and Transferring Software Event Logs.
• Sommario/riassunto: This book includes the revised selected papers from the 26th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2024, held in Nizhny Novgorod, Russia, during October 22-25, 2024. The 15 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 71 submissions. They focus on Conceptual Modeling and Ontologies; Generative and Transformer-Based Models; Machine Learning Methods and Applications and Statistical Methods and Applications.
• Titolo autorizzato: Data Analytics and Management in Data Intensive Domains
• ISBN: 3-032-03997-5
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911047666903321
• Lo trovi qui: Univ. Federico II
• Serie: Communications in Computer and Information Science, . 1865-0937 ; ; 2641