Advances in Knowledge Discovery and Data Mining [E-Book] : 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part III / edited by Hisashi Kashima, Tsuyoshi Ide, Wen-Chih Peng.
The 4-volume set LNAI 13935 - 13938 constitutes the proceedings of the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, which took place in Osaka, Japan during May 25-28, 2023. The 143 papers presented in these proceedings were carefully reviewed and selected from 813...
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Full text |
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| Personal Name(s): | Ide, Tsuyoshi, editor |
| Kashima, Hisashi, editor / Peng, Wen-Chih, editor | |
| Edition: |
1st edition 2023. |
| Imprint: |
Cham :
Springer,
2023
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| Physical Description: |
XVI, 417 pages 103 illustrations, 98 illustrations in color (online resource) |
| Note: |
englisch |
| ISBN: |
9783031333804 |
| DOI: |
10.1007/978-3-031-33380-4 |
| Series Title: |
Lecture Notes in Artificial Intelligence ;
13937 Lecture Notes in Computer Science |
| Subject (LOC): |
- Big data
- Toward Explainable Recommendation Via Counterfactual Reasoning
- Online Volume Optimization for Notifications via Long Short-Term Value Modeling
- Discovering Geo-referenced Frequent Patterns in Uncertain Geo-referenced Transactional Databases
- Financial data
- Joint Latent Topic Discovery and Expectation Modeling for Financial Markets
- Let the model make financial senses: a Text2Text generative approach for financial complaint identification
- Information retrieval and search
- Web-scale Semantic Product Search With Large Language Models
- Multi-task learning based Keywords weighted Siamese Model for semantic retrieval
- Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion
- MFBE: Leveraging Multi-Field Information of FAQs for Efficient Dense Retrieval
- Isotropic Representation Can Improve Dense Retrieval
- Knowledge-Enhanced Prototypical Network with Structural Semantics for Few-Shot Relation Classification
- Internet of Things
- MIDFA : Memory-Based Instance Division and Feature Aggregation Network for Video Object Detection
- Medical and biological data
- Vision Transformers for Small Histological Datasets learned through Knowledge Distillation
- Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis
- DKFM: Dual Knowledge-guided Fusion Model for Drug Recommendation
- Hierarchical Graph Neural Network for Patient Treatment Preference Prediction with External Knowledge
- Multimedia and multimodal data
- An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance
- Dynamically-Scaled Deep Canonical Correlation Analysis
- TCR: Short Video Title Generation and Cover Selection with Attention Refinement
- ItrievalKD: An Iterative Retrieval Framework Assisted with Knowledge Distillation for Noisy Text-to-Image Retrieval
- Recommender systems
- Semantic Relation Transfer for Non-overlapped Cross-domain Recommendations
- Interest Driven Graph Structure Learning for Session-Based Recommendation
- Multi-behavior Guided Temporal Graph Attention Network for Recommendation
- Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation
- Meta-learning Enhanced Next POI Recommendation by Leveraging Check-ins from Auxiliary Cities
- Global-Aware External Attention Deep Model for Sequential Recommendation
- Aggregately Diversified Bundle Recommendation via Popularity Debiasing and Configuration-aware Reranking
- Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendation
- kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval
- Staying or Leaving: A Knowledge-Enhanced User Simulator for Reinforcement Learning Based Short Video Recommendation
- RLMixer: A Reinforcement Learning Approach For Integrated Ranking With Contrastive User Preference Modeling.