Advances in knowledge discovery and data mining : Part I / 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings. Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R.K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty (eds.).
Uloženo v:
| Korporativní autor: | |
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| Další autoři: | , , , , , , |
| Médium: | E-kniha |
| Jazyk: | English |
| Vydáno: |
Cham, Switzerland :
Springer,
[2021]
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| Edice: | Lecture notes in computer science. Lecture notes in artificial intelligence.
Lecture notes in computer science ; 12712. LNCS sublibrary. Artificial intelligence. |
| Témata: | |
| On-line přístup: | Click for online access |
Obsah:
- Applications of Knowledge Discovery
- Fuzzy World:A Tool Training Agent from Concept Cognitive to Logic Inference
- Collaborative Reinforcement Learning Framework to Model Evolution of Cooperation in Sequential Social Dilemmas
- SIGTRAN: Signature Vectors for Detecting Illicit Activities in Blockchain Transaction Networks
- VOA*: Fast Angle-Based Outlier Detection Over High-Dimensional Data Streams
- Learning Probabilistic Latent Structure for Outlier Detection from Multi-View Data
- GLAD-PAW: Graph-based Log Anomaly Detection by Position Aware Weighted Graph Attention Network
- CubeFlow: Money Laundering Detection with Coupled Tensors
- Unsupervised Boosting-based Autoencoder Ensembles for Outlier Detection
- Unsupervised Domain Adaptation for 3D Medical Image with High Efficiency
- A Hierarchical Structure-Aware Embedding Method for Predicting Phenotype-Gene Associations
- Autonomous Vehicle Path Prediction using Conditional Variational Autoencoder Networks
- Heterogeneous Graph Attention Network for Small and Medium-sized Enterprises Bankruptcy Prediction
- Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data
- Sim2Real for Metagenomes: Accelerating Animal Diagnostics with Adversarial Co-Training
- Attack Is the Best Defense: A Multi-Mode Poisoning PUF against Machine Learning Attacks
- Combining exogenous and endogenous signals with a semi-supervised co-attention network for early detection of COVID-19 fake tweets
- TLife-LSTM: Forecasting Future COVID-19 Progression with Topological Signatures of Atmospheric Conditions
- Lifelong Learning based Disease Diagnosis on Clinical Notes
- GrabQC: Graph based Query Contextualization for automated ICD coding
- Deep Gaussian Mixture Model on Multiple Interpretable Features of Fetal Heart Rate for Pregnancy Wellness
- Adverse Drug Events Detection, Extraction and Normalization from Online Comments of Chinese Patent Medicines
- Adaptive Graph Co-Attention Networks for Traffic Forecasting
- Dual-Stage Bayesian Sequence to Sequence Embeddings for Energy Demand Forecasting
- AA-LSTM: An Adversarial Autoencoder Joint Model for Prediction of Equipment Remaining Useful Life
- Data Mining of Specialized Data
- Analyzing Topic Transitions in Text-based Social Cascades using Dual-Network Hawkes Process
- HiPaR: Hierarchical Pattern-Aided Regression
- Improved Topology Extraction using Discriminative Parameter Mining of Logs
- Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion
- A k-MCST based Algorithm for Discovering Core-Periphery Structures in Graphs
- Detecting Sequentially Novel Classes with Stable Generalization Ability
- Learning-based Dynamic Graph Stream Sketch
- Discovering Dense Correlated Subgraphs in Dynamic Networks
- Fake News Detection with Heterogenous Deep Graph Convolutional Network
- Incrementally Finding the Vertices Absent from the Maximum Independent Sets
- Neighbours and Kinsmen: Hateful Users Detection with Graph Neural Network
- Graph Neural Networks for Soft Semi-Supervised Learning on Hypergraphs
- A Meta-path based Graph Convolutional Network with Multi-Scale Semantic Extractions for Heterogeneous Event Classification
- Noise-Enhanced Unsupervised Link Prediction
- Weak Supervision Network Embedding for Constrained Graph Learning
- RAGA: Relation-aware Graph Attention Networks for Global Entity Alignment
- Graph Attention Networks with Positional Embeddings
- Unified Robust Training for Graph Neural Networks against Label Noise
- Graph InfoClust: Maximizing Coarse-Grain Mutual Information in Graphs
- A Deep Hybrid Pooling Architecture for Graph Classification with Hierarchical Attention
- Maximizing Explainability with SF-Lasso and Selective Inference for Video and Picture Ads. -Reliably Calibrated Isotonic Regression
- Multiple Instance Learning for Unilateral Data
- An Online Learning Algorithm for Non-Stationary Imbalanced Data by Extra-Charging Minority Class
- Locally Linear Support Vector Machines for Imbalanced Data Classification.
- Low-Dimensional Representation Learning from Imbalanced Data Streams
- PhotoStylist: Altering the Style of Photos based on the Connotations of Texts
- Gazetteer-Guided Keyphrase Generation from Research Papers
- Minits-AllOcc: An Efficient Algorithm for Mining Timed Sequential Patterns
- T^3N: Harnessing Text and Temporal Tree Network for Rumor Detection on Twitter
- AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection
- SCARLET: Explainable Attention based Graph Neural Network for Fake News spreader prediction
- Content matters: A GNN-based Model Combined with Text Semantics for Social Network Cascade Prediction
- TERMCast: Temporal Relation Modeling for Effective Urban Flow Forecasting
- Traffic Flow Driven Spatio-Temporal Graph Convolutional Network for Ride-hailing Demand Forecasting
- A Proximity Forest for Multivariate Time Series Classification
- C²-Guard: A Cross-Correlation Gaining Framework for Urban Air Quality Prediction
- Simultaneous multiple POI population patternanalysis system with HDP mixture regression
- Interpretable Feature Construction for Time Series Extrinsic Regression
- SEPC: Improving Joint Extraction of Entities and Relations by Strengthening Entity Pairs Connection.