LEADER 00723nam0-22002411i-450- 001 990002711690403321 035 $a000271169 035 $aFED01000271169 035 $a(Aleph)000271169FED01 035 $a000271169 100 $a20000920d1947----km-y0itay50------ba 101 0 $aENG 200 1 $aDroit et technique des operations maritimes.$fby Jordens M. 210 $aBruxelles$cLes Editions Comptables Commerciales et Financieres$d1947 700 1$aJordens,$bMaurice R.$0111180 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990002711690403321 952 $a4-9-378$bITA 26709$fECA 959 $aECA 996 $aDroit et technique des operations maritimes$947120 997 $aUNINA DB $aING01 LEADER 06303nam 22007575 450 001 996660361603316 005 20250502130144.0 010 $a3-031-91398-1 024 7 $a10.1007/978-3-031-91398-3 035 $a(CKB)38696365100041 035 $a(DE-He213)978-3-031-91398-3 035 $a(MiAaPQ)EBC32068911 035 $a(Au-PeEL)EBL32068911 035 $a(EXLCZ)9938696365100041 100 $a20250502d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Intelligent Data Analysis XXIII $e23rd International Symposium on Intelligent Data Analysis, IDA 2025, Konstanz, Germany, May 7?9, 2025, Proceedings /$fedited by Georg Krempl, Kai Puolamäki, Ioanna Miliou 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (XVI, 486 p. 117 illus., 111 illus. in color.) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15669 311 08$a3-031-91397-3 327 $aApplications of Data Science -- Credal Knowledge Tracing for Imprecise and Uncertain MCQ -- Development of Models to Quantify Training Load in Outdoor Running using Inertial Sensors -- Estimating the Learning Capacity of Bacterial Metabolic Networks -- Semi-supervised learning with pairwise instance comparisons for medical instance classification -- Local-global Data Augmentation for Contrastive Learning in Static Sign Language Recognition -- SiamCircle: Trajectory Representation Learning in Free Settings -- Synthetic Tabular Data Detection In the Wild -- Assessing the Impact of Graph Structure Learning in Graph Deviation Networks -- Foundations of Data Science -- The When and How of Target Variable Transformations -- Balancing performance and scalability of demand forecasting ML models -- Balancing global importance and source proximity for personalized recommendations using random walk length -- Counterintuitive Behavior of Clustering Quality: Findings for K-Means on Synthetic and Real Data -- BOWSA: a contribution of sensitivity analysis to improve Bayesian optimization for parameter tuning -- Overfitting in Combined Algorithm Selection and Hyperparameter Optimization -- Local Subgroup Discovery on Attributed Network Graphs -- Imposing Constraints in Probabilistic Circuits via Gradient Optimization -- Natural Language Processing -- Improving Next Tokens via Second-Last Predictions with ?Generate and Refine? -- Detection of Large Language Model Contamination with Tabular Data -- Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM -- Make Literature-Based Discovery Great Again through Reproducible Pipelines -- Extracting information in a low-resource setting: case study on bioinformatics workflows -- Vocabulary Quality in NLP Datasets: An Autoencoder-Based Framework Across Domains and Languages -- Temporal and Streaming Data Expertise Prediction of Tetris Players Using Eye Tracking Information -- Integrating Inverse and Forward Modeling for Sparse Temporal Data from Sensor Networks -- Bridging Spatial and Temporal Contexts: Sparse Transfer Learning -- Meta-learning and Data Augmentation for Stress Testing Forecasting Models -- Pragmatic Paradigm for Multi-stream Regression -- Two-in-one Models for Event Prediction and Time Series Forecasting. Comparison of Four Deep Learning Approaches to Simulate a Digital Patient under Anesthesia -- An Analysis of Temporal Dropout in Earth Observation Time Series for Regression Tasks -- Performative Drift Resistant Classification using Generative Domain Adversarial Networks -- Explainable and Interpretable Data Science -- Extracting Moore Machines from Transformers using Queries and Counterexamples -- Obtaining Example-Based Explanations from Deep Neural Networks -- Relevance-aware Algorithmic Recourse -- Expanding Polynomial Kernels for Global and Local Explanations of Support Vector Machines -- A Constrained Declarative Based Approach for Explainable Clustering. 330 $aThis volume constitutes the proceedings of the 23rd International Symposium on Intelligent Data Analysis, IDA 2025, which was held in Konstanz, Germany, during May 7?9, 2025. The 35 full papers included in the proceedings were carefully reviewed and selected from 91 submissions. They were organized in topical sections as follows: Applications of data science, foundations of data science; natural language processing; temporal and streaming data; and explainable and interpretable data science. . 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15669 606 $aDatabase management 606 $aEducation$xData processing 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aArtificial intelligence 606 $aMachine learning 606 $aNatural language processing (Computer science) 606 $aDatabase Management System 606 $aComputers and Education 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aArtificial Intelligence 606 $aMachine Learning 606 $aNatural Language Processing (NLP) 615 0$aDatabase management. 615 0$aEducation$xData processing. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aArtificial intelligence. 615 0$aMachine learning. 615 0$aNatural language processing (Computer science) 615 14$aDatabase Management System. 615 24$aComputers and Education. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aArtificial Intelligence. 615 24$aMachine Learning. 615 24$aNatural Language Processing (NLP). 676 $a005.7 702 $aKrempl$b Georg$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPuolamäki$b Kai$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMiliou$b Ioanna$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996660361603316 996 $aAdvances in Intelligent Data Analysis XXIII$94384333 997 $aUNISA