Advances in Knowledge Discovery and Data Mining 25th Pacific Asia Conference, PAKDD 2021, Virtual Event, May 11 14, 2021, Proceedings, Part I Lecture Notes in Computer Science, 12712 1st edition by Kamal, Hong, Naren, Agrawal, Krishna, Jaideep, Tanmoy 9783030757618 3030757617

Table Contents:

1. Cover
2. Front Matter
3. Applications of Knowledge Discovery
4. Fuzzy World: A Tool Training Agent from Concept Cognitive to Logic Inference
5. Collaborative Reinforcement Learning Framework to Model Evolution of Cooperation in Sequential Social Dilemmas
6. SigTran: Signature Vectors for Detecting Illicit Activities in Blockchain Transaction Networks
7. VOA*: Fast Angle-Based Outlier Detection over High-Dimensional Data Streams
8. Learning Probabilistic Latent Structure for Outlier Detection from Multi-view Data
9. GLAD-PAW: Graph-Based Log Anomaly Detection by Position Aware Weighted Graph Attention Network
10. CubeFlow: Money Laundering Detection with Coupled Tensors
11. Unsupervised Boosting-Based Autoencoder Ensembles for Outlier Detection
12. Unsupervised Domain Adaptation for 3D Medical Image with High Efficiency
13. A Hierarchical Structure-Aware Embedding Method for Predicting Phenotype-Gene Associations
14. Autonomous Vehicle Path Prediction Using Conditional Variational Autoencoder Networks
15. Heterogeneous Graph Attention Network for Small and Medium-Sized Enterprises Bankruptcy Prediction
16. Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data
17. Sim2Real for Metagenomes: Accelerating Animal Diagnostics with Adversarial Co-training
18. Attack Is the Best Defense: A Multi-Mode Poisoning PUF Against Machine Learning Attacks
19. Combining Exogenous and Endogenous Signals with a Semi-supervised Co-attention Network for Early Detection of COVID-19 Fake Tweets
20. TLife-LSTM: Forecasting Future COVID-19 Progression with Topological Signatures of Atmospheric Conditions
21. Lifelong Learning Based Disease Diagnosis on Clinical Notes
22. GrabQC: Graph Based Query Contextualization for Automated ICD Coding
23. Deep Gaussian Mixture Model on Multiple Interpretable Features of Fetal Heart Rate for Pregnancy Wellness
24. Adverse Drug Events Detection, Extraction and Normalization from Online Comments of Chinese Patent Medicines
25. Adaptive Graph Co-Attention Networks for Traffic Forecasting
26. Dual-Stage Bayesian Sequence to Sequence Embeddings for Energy Demand Forecasting
27. AA-LSTM: An Adversarial Autoencoder Joint Model for Prediction of Equipment Remaining Useful Life
28. Data Mining of Specialized Data
29. Analyzing Topic Transitions in Text-Based Social Cascades Using Dual-Network Hawkes Process
30. HiPaR: Hierarchical Pattern-Aided Regression
31. Improved Topology Extraction Using Discriminative Parameter Mining of Logs
32. Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion
33. A k-MCST Based Algorithm for Discovering Core-Periphery Structures in Graphs
34. Detecting Sequentially Novel Classes with Stable Generalization Ability
35. Learning-Based Dynamic Graph Stream Sketch
36. Discovering Dense Correlated Subgraphs in Dynamic Networks
37. Fake News Detection with Heterogenous Deep Graph Convolutional Network
38. Incrementally Finding the Vertices Absent from the Maximum Independent Sets
39. Neighbours and Kinsmen: Hateful Users Detection with Graph Neural Network
40. Graph Neural Networks for Soft Semi-Supervised Learning on Hypergraphs
41. A Meta-path Based Graph Convolutional Network with Multi-scale Semantic Extractions for Heterogeneous Event Classification
42. Noise-Enhanced Unsupervised Link Prediction
43. Weak Supervision Network Embedding for Constrained Graph Learning
44. RAGA: Relation-Aware Graph Attention Networks for Global Entity Alignment
45. Graph Attention Networks with Positional Embeddings
46. Unified Robust Training for Graph Neural Networks Against Label Noise
47. Graph InfoClust: Maximizing Coarse-Grain Mutual Information in Graphs
48. A Deep Hybrid Pooling Architecture for Graph Classification with Hierarchical Attention
49. Maximizing Explainability with SF-Lasso and Selective Inference for Video and Picture Ads
50. Reliably Calibrated Isotonic Regression
51. Multiple Instance Learning for Unilateral Data
52. An Online Learning Algorithm for Non-stationary Imbalanced Data by Extra-Charging Minority Class
53. Locally Linear Support Vector Machines for Imbalanced Data Classification
54. Low-Dimensional Representation Learning from Imbalanced Data Streams
55. PhotoStylist: Altering the Style of Photos Based on the Connotations of Texts
56. Gazetteer-Guided Keyphrase Generation from Research Papers
57. Minits-AllOcc: An Efficient Algorithm for Mining Timed Sequential Patterns
58. : Harnessing Text and Temporal Tree Network for Rumor Detection on Twitter
59. AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection
60. SCARLET: Explainable Attention Based Graph Neural Network for Fake News Spreader Prediction
61. Content Matters: A GNN-Based Model Combined with Text Semantics for Social Network Cascade Prediction
62. TERMCast: Temporal Relation Modeling for Effective Urban Flow Forecasting
63. Traffic Flow Driven Spatio-Temporal Graph Convolutional Network for Ride-Hailing Demand Forecasting
64. A Proximity Forest for Multivariate Time Series Classification
65. C-Guard: A Cross-Correlation Gaining Framework for Urban Air Quality Prediction
66. Simultaneous Multiple POI Population Pattern Analysis System with HDP Mixture Regression
67. Interpretable Feature Construction for Time Series Extrinsic Regression
68. SEPC: Improving Joint Extraction of Entities and Relations by Strengthening Entity Pairs Connection
69. Back Matter