Pardalos / Babkin / Zolotykh Data Analytics and Management in Data Intensive Domains

26th International Conference, DAMDID/RCDL 2024, Nizhny Novgorod, Russia, October 23–25, 2024, Revised Selected Papers
Erscheinungsjahr 2025
ISBN: 978-3-032-03997-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 296 Seiten

Reihe: Communications in Computer and Information Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Pardalos, Panos

Babkin, Eduard

Zolotykh, Nikolay

Stupnikov, Sergey

Inhaltsverzeichnis

.- 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.