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| Link zu diesem Datensatz | https://d-nb.info/1348545534 |
| Art des Inhalts | Konferenzschrift |
| Titel | New Trends in Database and Information Systems : ADBIS 2024 Short Papers, Workshops, Doctoral Consortium and Tutorials, Bayonne, France, August 28–31, 2024, Proceedings / edited by Joe Tekli, Johann Gamper, Richard Chbeir, Yannis Manolopoulos, Salma Sassi, Mirjana Ivanovic, Genoveva Vargas-Solar, Ester Zumpano |
| Person(en) |
Tekli, Joe (Herausgeber) Gamper, Johann (Herausgeber) Chbeir, Richard (Herausgeber) Manolopoulos, Yannis (Herausgeber) Sassi, Salma (Herausgeber) Ivanović, Mirjana (Herausgeber) Vargas-Solar, Genoveva (Herausgeber) Zumpano, Ester (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2025 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2025 |
| Umfang/Format | Online-Ressource, XXII, 402 p. 102 illus., 84 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-70420-8 Printed edition:: ISBN: 978-3-031-70422-2 |
| Inhalt | -- Doctoral Consortium. -- Using Graph Theory for Clinical Data Management. -- Advancing Legal NLP: Application of Pre-trained Language Models in the Legal Domain. -- An application for scoliosis screening and follow-up: a first proposal. -- Negation Detection in Italian: A Key Challenge in Sentiment Analysis. -- Optimizing Federated Learning and Increasing Efficiency. -- Integrating Pseudo-Time Series Analysis into Telemedicine: Enhancing Real-Time Disease Monitoring and Intervention. -- Classifying Chest X-Ray Images with Deep Learning Techniques: Challenges and Explainable Analysis. -- Scalable Deep Learning: Applications in Medicine. -- Towards More Efficient and Improved Federated Learning. -- Development of Explainable AI Methods for the Interpretation of Machine Learning Models in Bioinformatics and Medicine. -- Deep Learning Techniques for Predicting Wildires in Calabria Italy Using Environmental Parameters. -- 5th Workshop on Intelligent Data - From Data to Knowledge (DOING 2024). -- Capturing Analytical Intents from Text. -- The Effect of Text Normalization on Mining Portuguese Man-of-War Instagram Posts. -- A Preliminary Investigation: Strategies for Incorporating Logical Rules into Knowledge Graph Embeddings. -- Construction of Open Data Sources for Data Interoperability in Brazilian Health Information Systems. -- Brazilian Political Study with Topics Analysis and Complex Networks. -- 3rd Workshop on Knowledge Graphs Analysis on a Large Scale (K-GALS 2024). -- Transforming Text into Knowledge with Graphs: Report of the GDR MADICS DOING Action. -- Building Model-Driven Knowledge Graphs via Large Language Models. -- 6th Workshop on Modern Approaches in Data Engineering and Information System Design (MADEISD 2024). -- Process Mining in Croatia’s Judicial Auctions. -- Towards the Utilization of AI-powered Assistance for Systematic Literature Review. -- Estimating Information Efficiency of Bitcoin Inscriptions. -- Deep Learning-Based Cellular Nuclei Segmentation Using Transformer Mode. -- Towards a Model-Driven Approach to Enable Uniform Access to Vector Databases. -- Employing Multiple Online Translation Services in a Multilingual Database Design Tool. -- 3rd Workshop on Personalization and Recommender Systems (PERS 2024). -- Development of Collaborative Business Intelligence Framework for Tourism Analysis. -- Session-based Recommendation with Graph Neural Networks with an Examination of the Impact of Local and Global Vectors. -- Senselife: Service Recommendation and Frailty Prevention through Knowledge Models. -- Evaluating Diversity in Sequential Group Recommendations. -- Access methods and Query Processing. -- A Reproducibility Study of Subgroup Discovery Algorithms (short). -- Discovery and Data Analysis. -- A Compact and Efficient Data Structure for Line-based Processing of Series of Raster Data (short). -- Machine Learning. -- FedeM: Federated Learning-Based Privacy-Preserving Record Matching (short). -- Estimating MPdist with SAX and Machine Learning (short). -- Large Language Models. -- Entity Matching with Large Language Models as Weak and Strong labellers (short). -- LLMClean: Context-Aware Tabular Data Cleaning via LLM-Generated OFDs (short). -- Tutorials. -- Data-driven Analysis for Monitoring Software Evolution. -- On Customer Data Deduplication - Research vs. Industrial Perspective: Lessons Learned from a R&D Project in the Financial Sector |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2411170306261.544693014558 DOI: 10.1007/978-3-031-70421-5 |
| URL | https://doi.org/10.1007/978-3-031-70421-5 |
| ISBN/Einband/Preis | 978-3-031-70421-5 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Communications in Computer and Information Science ; 2186 |
| DDC-Notation | 005.74 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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