
Data Analytics and Management in Data Intensive Domains
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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.
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Content
.- 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.
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