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Record Nr. |
UNINA9911047666903321 |
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Autore |
Pardalos Panos |
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Titolo |
Data Analytics and Management in Data Intensive Domains : 26th International Conference, DAMDID/RCDL 2024, Nizhny Novgorod, Russia, October 23–25, 2024, Revised Selected Papers / / edited by Panos Pardalos, Eduard Babkin, Nikolay Zolotykh, Sergey Stupnikov |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
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ISBN |
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Edizione |
[1st ed. 2026.] |
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Descrizione fisica |
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1 online resource (427 pages) |
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Collana |
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Communications in Computer and Information Science, , 1865-0937 ; ; 2641 |
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Altri autori (Persone) |
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BabkinEduard |
ZolotykhNikolay |
StupnikovSergey |
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Disciplina |
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Soggetti |
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Data mining |
Artificial intelligence |
Application software |
Social sciences - Data processing |
Image processing - Digital techniques |
Computer vision |
Software engineering |
Data Mining and Knowledge Discovery |
Artificial Intelligence |
Computer and Information Systems Applications |
Computer Application in Social and Behavioral Sciences |
Computer Imaging, Vision, Pattern Recognition and Graphics |
Software Engineering |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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-- 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 |
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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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Sommario/riassunto |
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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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