| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Data science/ edited by Xintao Wu ... [et al.]. |
| Reminder of title: |
foundations and applications : 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025 : proceedings. |
| remainder title: |
PAKDD 2025 |
| other author: |
Wu, Xintao. |
| corporate name: |
PAKDD (Conference) |
| Published: |
Singapore :Springer Nature Singapore : : 2025., |
| Description: |
xxx, 441 p. :ill. (chiefly color), digital ;24 cm. |
| [NT 15003449]: |
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. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Data mining - Congresses. - |
| Online resource: |
https://doi.org/10.1007/978-981-96-8298-0 |
| ISBN: |
9789819682980 |