Data Analytics and Management in Data Intensive Domains

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Details

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.


Klappentext

.- 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.


Inhalt

.- 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.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783032039965
    • Genre Information Technology
    • Editor Panos Pardalos, Eduard Babkin, Nikolay Zolotykh, Sergey Stupnikov
    • Lesemotiv Verstehen
    • Anzahl Seiten 296
    • Größe H18mm x B155mm x T235mm
    • Jahr 2025
    • EAN 9783032039965
    • Format Kartonierter Einband
    • ISBN 978-3-032-03996-5
    • Titel Data Analytics and Management in Data Intensive Domains
    • Untertitel 26th International Conference, DAMDID/RCDL 2024, Nizhny Novgorod, Russia, October 23-25, 2024, Revised Selected Papers
    • Gewicht 499g
    • Herausgeber Springer
    • Sprache Englisch

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