Advances in Knowledge Discovery and Data Mining

Table of Contents

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   Book Overview
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   Chapter 1 Re-thinking Human Activity Recognition with Hierarchy-Aware Label Relationship Modeling
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   Chapter 2 Geometrically-Aware Dual Transformer Encoding Visual and Textual Features for Image Captioning
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   Chapter 3 MHDF: Multi-source Heterogeneous Data Progressive Fusion for Fake News Detection
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   Chapter 4 Accurate Semi-supervised Automatic Speech Recognition via Multi-hypotheses-Based Curriculum Learning
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   Chapter 5 MM-PhyQA: Multimodal Physics Question-Answering with Multi-image CoT Prompting
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   Chapter 6 Adversarial Text Purification: A Large Language Model Approach for Defense
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   Chapter 7 lil’HDoC: An Algorithm for Good Arm Identification Under Small Threshold Gap
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   Chapter 8 ScaleViz: Scaling Visualization Recommendation Models on Large Data
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    Chapter 9 Collaborative Filtering in Latent Space: A Bayesian Approach for Cold-Start Music Recommendation
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    Chapter 10 On Diverse and Precise Recommendations for Small and Medium-Sized Enterprises
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    Chapter 11 HMAR: Hierarchical Masked Attention for Multi-behaviour Recommendation
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    Chapter 12 Residual Spatio-Temporal Collaborative Networks for Next POI Recommendation
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    Chapter 13 Conditional Denoising Diffusion for Sequential Recommendation
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    Chapter 14 UIPC-MF: User-Item Prototype Connection Matrix Factorization for Explainable Collaborative Filtering
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    Chapter 15 Towards Multi-subsession Conversational Recommendation
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    Chapter 16 False Negative Sample Aware Negative Sampling for Recommendation
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    Chapter 17 Multi-sourced Integrated Ranking with Exposure Fairness
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    Chapter 18 Soft Contrastive Learning for Implicit Feedback Recommendations
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    Chapter 19 Dual-Graph Convolutional Network and Dual-View Fusion for Group Recommendation
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    Chapter 20 TripleS: A Subsidy-Supported Storage for Electricity with Self-financing Management System
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    Chapter 21 Mask Adaptive Spatial-Temporal Recurrent Neural Network for Traffic Forecasting
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    Chapter 22 Distributional Kernel: An Effective and Efficient Means for Trajectory Retrieval
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    Chapter 23 Multi-agent Reinforcement Learning for Online Placement of Mobile EV Charging Stations
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    Chapter 24 Localization Through Deep Learning in New and Low Sampling Rate Environments
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    Chapter 25 MPRG: A Method for Parallel Road Generation Based on Trajectories of Multiple Types of Vehicles
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    Chapter 26 GSPM: An Early Detection Approach to Sudden Abnormal Large Outflow in a Metro System
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    Chapter 27 FMSYS: Fine-Grained Passenger Flow Monitoring in a Large-Scale Metro System Based on AFC Smart Card Data
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    Chapter 28 Enhanced HMM Map Matching Model Based on Multiple Type Trajectories
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    Chapter 29 A Multimodal and Multitask Approach for Adaptive Geospatial Region Embeddings
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    Chapter 30 Attention Mechanism Based Multi-task Learning Framework for Transportation Time Prediction
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    Chapter 31 MSTAN: A Multi-view Spatio-Temporal Aggregation Network Learning Irregular Interval User Activities for Fraud Detection