PRIZES to win! PROMOTIONS

Close Notification

Your cart does not contain any items

Data Analytics and Management in Data Intensive Domains

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

Panos Pardalos Eduard Babkin Nikolay Zolotykh Sergey Stupnikov

$176.95   $141.94

Paperback

Not in-store but you can order this
How long will it take?

QTY:

English
Springer Nature Switzerland AG
21 October 2025
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.
Edited by:   , , ,
Imprint:   Springer Nature Switzerland AG
Country of Publication:   Switzerland
Dimensions:   Height: 235mm,  Width: 155mm, 
ISBN:   9783032039965
ISBN 10:   3032039967
Series:   Communications in Computer and Information Science
Pages:   296
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Further / Higher Education ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
.- 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.

See Also