LEADER 06303nam 22007935 450 001 9911011776303321 005 20250620130325.0 010 $a981-9682-95-9 024 7 $a10.1007/978-981-96-8295-9 035 $a(MiAaPQ)EBC32163404 035 $a(Au-PeEL)EBL32163404 035 $a(CKB)39395919100041 035 $a(DE-He213)978-981-96-8295-9 035 $a(EXLCZ)9939395919100041 100 $a20250620d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData Science: Foundations and Applications $e29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part VI /$fedited by Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Xiangmin Zhou, Guansong Pang, Joao Gama 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (813 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v15875 311 08$a981-9682-94-0 327 $a -- Survey Track. -- Large Language Models for Cybersecurity Education: A Survey of Current Practices and Future Directions. -- A Comprehensive Survey on Deep Learning Solutions for 3D Flood Mapping. -- A Survey of Foundation Models for Environmental Science. -- A Survey on Efficient Graph Reachability Queries. -- Machine Learning. -- Disentangled Representation Learning for Geospatial-temporal Data Modeling. -- Treatment Effect Estimation for Graph-Structured Targets. -- Dynamic DropConnect: Enhancing Neural Network Robustness through Adaptive Edge Dropping Strategies. -- The Brownian Integral Kernel: A New Kernel for Modeling Integrated Brownian Motions. -- Fed-ARIMA-OPARBFN: An Ensemble Model for Cross-Domain Crop Yield Time Series Prediction Based on Federated Learning. -- S-CPD: Topological Smoothing-Based Change Point Detection. -- VDASI: VAE-Enhanced Degradation-Aware System Identification Using Constrained Latent Spaces. -- Disentangled Mode-Specific Representations for Tensor Time Series via Contrastive Learning. -- PFformer: A Position-Free Transformer Variant for Extreme-Adaptive Multivariate Time Series Forecasting. -- Advancing Long-Term High-Frequency Dissolved Oxygen Forecasting for Australian Rivers. -- CNO-former: Chaotic Neural Oscillatory Transformer for Social Media Text Generation. -- Multilingual Non-Factoid Question Answering with Answer Paragraph Selection -- Turning Uncertainty to Information by Intervals in Ensemble Classifiers. -- Determining the Need for Multi-Label Classifiers by Measuring Unexplained Covariance. -- Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics. -- Trustworthiness. -- Inversion Triplet - A Contrastive Backdoor Mitigation Method for Self-Supervised Vision Encoders. -- Beyond Uniformity: Robust Backdoor Attacks on Deep Neural Networks with Trigger Selection. -- Defence Against Multi-target Multi-trigger Backdoor Attack. -- How to Backdoor Consistency Models?. -- Multi-granularity Policy Explanation of Deep Reinforcement Learning Based on Saliency Map Clustering. -- FACROC: A Fairness Measure for Fair Clustering Through ROC Curves. -- Learning on Complex Data. -- Action Sequence Analysis Using Temporal Commonsense Knowledge. -- Foundation Model for Lossy Compression of Spatiotemporal Scientific Data. -- CANTER: A Novel Causal Model for Tourism Demand Forecasting. -- Time-Aware Complex Attention Space for Temporal Knowledge Graph Completion. -- Adaptive Extraction of Variable-Length Subsequence Patterns in Noisy Time Series. -- Hunting Inside N-Quantiles of Outliers (Hino). -- Fast Approximation Algorithm for Euclidean Minimum Spanning Tree Building in High Dimensions. -- ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton. -- Offline Map Matching Based on Localization Error Distribution Modeling. 330 $aThe two-volume set LNAI 15875 + 15876 constitutes the proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025 Special Session, held in Sydney, NSW, Australia, during June 10?13, 2025. The 68 full papers included in this set were carefully reviewed and selected from 696 submissions. They were organized in topical sections as follows: survey track; machine learning; trustworthiness; learning on complex data; graph mining; machine learning applications; representation learning; scientific/business data analysis; and special track on large language models. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v15875 606 $aArtificial intelligence 606 $aAlgorithms 606 $aEducation$xData processing 606 $aComputer science$xMathematics 606 $aSignal processing 606 $aComputer networks 606 $aArtificial Intelligence 606 $aDesign and Analysis of Algorithms 606 $aComputers and Education 606 $aMathematics of Computing 606 $aSignal, Speech and Image Processing 606 $aComputer Communication Networks 615 0$aArtificial intelligence. 615 0$aAlgorithms. 615 0$aEducation$xData processing. 615 0$aComputer science$xMathematics. 615 0$aSignal processing. 615 0$aComputer networks. 615 14$aArtificial Intelligence. 615 24$aDesign and Analysis of Algorithms. 615 24$aComputers and Education. 615 24$aMathematics of Computing. 615 24$aSignal, Speech and Image Processing. 615 24$aComputer Communication Networks. 676 $a006.3 700 $aWu$b Xintao$01828597 701 $aSpiliopoulou$b Myra$01756207 701 $aWang$b Can$01828598 701 $aKumar$b Vipin$065762 701 $aCao$b Longbing$0921499 701 $aZhou$b Xiangmin$01829563 701 $aPang$b Guansong$01829564 701 $aGama$b Joa?o$00 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911011776303321 996 $aData Science: Foundations and Applications$94402552 997 $aUNINA