Data Analytics and Management in Data Intensive Domains

26th International Conference, DAMDID/RCDL 2024, Nizhny Novgorod, Russia, October 23–25, 2024, Revised Selected Papers

AvPanos Pardalos,Eduard Babkin

Häftad, Engelska, 2025

Del 2641 i serien Communications in Computer and Information Science

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2025-10-21
Mått:155 x 235 x 18 mm
Vikt:499 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:296
Förlag:Springer Nature Switzerland AG
ISBN:9783032039965

Utforska kategorier

Innehållsförteckning

.- 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.