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| Link zu diesem Datensatz | https://d-nb.info/1368759432 |
| Art des Inhalts | Konferenzschrift |
| Titel | Data Science: Foundations and Applications : 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part VII / edited by Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Xiangmin Zhou, Guansong Pang, Joao Gama |
| Person(en) |
Wu, Xintao (Herausgeber) Spiliopoulou, Myra (Herausgeber) Wang, Can (Herausgeber) Kumar, Vipin (Herausgeber) Cao, Longbing (Herausgeber) Zhou, Xiangmin (Herausgeber) Pang, Guansong (Herausgeber) Gama, João (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2025 |
| Verlag | Singapore : Springer Nature Singapore, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2025 |
| Umfang/Format | Online-Ressource, XXX, 441 p. 135 illus., 122 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-981-9682-97-3 Printed edition:: ISBN: 978-981-9682-99-7 |
| Inhalt | -- Graph Mining. -- MuCo-KGC: Multi-Context-Aware Knowledge Graph Completion. -- Tensor-Fused Multi-View Graph Contrastive Learning. -- FOG: Interpretable Feature-Oriented Graph Neural Networks for Tabular Data Prediction. -- High Resolution Image Classification with Rich Text Information Based on Graph Convolution Neural Network. -- Time Interval Aware Graph Neural Networks for Session-Based Recommendation. -- SSGNN: Structure-aware Scoring Graph Neural Network for Molecular Representation. -- Mint: An Efficient and Robust In-Place Update Approach for Graph-based Vector Index. -- Machine Learning Applications. -- Advancing Comprehensive Aspect-Based Sentiment Analysis with Generative Models. -- A Systematic Evaluation of Generative Models on Tabular Transportation Data. -- SDF-Guided Multi-modal Big Data Road Extraction. -- Player Movement Predictions Using Team and Opponent Dynamics for Doubles Badminton. -- Representation Learning. -- Late Fusion Ensembles for Speech Recognition on Diverse Input Audio Representations. -- Text Enhancement-based Multimodal Fusion for Video Sentiment Analysis. -- Advancing Rubric-based Automated Essay Scoring with Multi-View BERT: A Case Study in New Zealand. -- A Script Event Prediction Method Based on Multi-Level Joint Pretraining and Prompt Fine-Tuning. -- Scientific/Business Data Analysis. -- A Multimodal Fusion Model Leveraging MLP Mixer and Handcrafted Features-based Deep Learning Networks for Facial Palsy Detection. -- Using Pseudo-Synonyms to Generate Embeddings for Clinical Terms. -- Corporate Carbon Emission Prediction: Combining Structured and Unstructured Data. -- GDCK: Efficient Large-Scale Graph Distillation utilizing a Model-free Kernelized Approach. -- Efficient DNA fragment assembly based on Discrete Slime Mould Algorithm. -- Multi-Scale Control Model for Network Group Behavior. -- Can Self Supervision Rejuvenate Similarity-Based Link Prediction?. -- Managing Data Uncertainty in Automatic Mapping of Clinical Classification Systems. -- Insomnia Detection Based on Brain State Sleep Trajectories. -- MCA: Multimodal Contrastive Augmentation for Medical Report Generation. -- Special Track on Large Language Models. .-Adapting Large Language Models for Parameter-Efficient Log Anomaly Detection. -- Bot Wars Evolved: Orchestrating Competing LLMs in a Counterstrike Against Phone Scams. -- Large Language Models with Multi-Faceted Relation Alignment for User Novel Interest Discovery. -- Estimating Impact of Behavior Change Messages Using Large Language Models. -- A Meta-Thinking Approach to Mitigating Linguistic Sycophancy in Vision-Language Models. -- VisCon-100K: Leveraging Contextual Web Data for Fine-tuning Vision Language Models. -- TRAWL: Tensor Reduced and Approximated Weights for Large Language Models. -- DAG-Think-Twice: Causal Structure Guided Elicitation of Causal Reasoning in Large Language Model. -- GRL-Prompt: Towards Prompts Optimization via Graph-empowered Reinforcement Learning using LLMs’ Feedback |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2506161002089.963302593850 DOI: 10.1007/978-981-96-8298-0 |
| URL | https://doi.org/10.1007/978-981-96-8298-0 |
| ISBN/Einband/Preis | 978-981-96-8298-0 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Artificial Intelligence ; 15876 |
| DDC-Notation | 004.6 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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