Advances in Knowledge Discovery and Data Mining

Table of Contents

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   Book Overview
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   Chapter 2 Fast and Attributed Change Detection on Dynamic Graphs with Density of States
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   Chapter 3 Outlying Aspect Mining via Sum-Product Networks
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   Chapter 4 TSI-GAN: Unsupervised Time Series Anomaly Detection Using Convolutional Cycle-Consistent Generative Adversarial Networks
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   Chapter 5 Achieving Counterfactual Fairness for Anomaly Detection
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   Chapter 6 The Common-Neighbors Metric Is Noise-Robust and Reveals Substructures of Real-World Networks
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   Chapter 7 An Effective WGAN-Based Anomaly Detection Model for IoT Multivariate Time Series
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   Chapter 8 RL-Net: Interpretable Rule Learning with Neural Networks
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   Chapter 9 The Causal Strength Bank: A New Benchmark for Causal Strength Classification
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    Chapter 10 Topological Graph Convolutional Networks Solutions for Power Distribution Grid Planning
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    Chapter 11 Label Distribution Learning with Discriminative Instance Mapping
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    Chapter 12 Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets
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    Chapter 13 Weak Correlation-Based Discriminative Dictionary Learning for Image Classification
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    Chapter 14 Data-dependent and Scale-Invariant Kernel for Support Vector Machine Classification
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    Chapter 15 Enhancing Robustness of Prototype with Attentive Information Guided Alignment in Few-Shot Classification
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    Chapter 16 An Improved Visual Assessment with Data-Dependent Kernel for Stream Clustering
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    Chapter 17 Selecting the Number of Clusters K with a Stability Trade-off: An Internal Validation Criterion
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    Chapter 18 Adaptive View-Aligned and Feature Augmentation Network for Partially View-Aligned Clustering
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    Chapter 19 Continuously Predicting the Completion of a Time Intervals Related Pattern
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    Chapter 20 Interactive Pattern Mining Using Discriminant Sub-patterns as Dynamic Features
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    Chapter 21 A Novel Explainable Link Forecasting Framework for Temporal Knowledge Graphs Using Time-Relaxed Cyclic and Acyclic Rules
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    Chapter 22 A Consumer-Good-Type Aware Itemset Placement Framework for Retail Businesses
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    Chapter 23 M-EBM: Towards Understanding the Manifolds of Energy-Based Models
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    Chapter 24 Small Temperature is All You Need for Differentiable Architecture Search
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    Chapter 25 Document-Level Relation Extraction with Cross-sentence Reasoning Graph
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    Chapter 26 Weight Prediction Boosts the Convergence of AdamW
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    Chapter 27 Model-Agnostic Reachability Analysis on Deep Neural Networks
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    Chapter 28 Adaptive Bi-nonlinear Neural Networks Based on Complex Numbers with Weights Constrained Along the Unit Circle
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    Chapter 29 CopyCAT: Masking Strategy Conscious Augmented Text for Machine Generated Text Detection
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    Chapter 30 Federated Learning Under Statistical Heterogeneity on Riemannian Manifolds
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    Chapter 31 Enhanced Topic Modeling with Multi-modal Representation Learning
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    Chapter 32 Dynamic Multi-View Fusion Mechanism for Chinese Relation Extraction
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    Chapter 33 Alignment-Aware Word Distance
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    Chapter 34 MISNN: Multiple Imputation via Semi-parametric Neural Networks
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    Chapter 35 LSG Attention: Extrapolation of Pretrained Transformers to Long Sequences
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    Chapter 36 Compressing the Embedding Matrix by a Dictionary Screening Approach in Text Classification
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    Chapter 37 Disentangled Representation with Causal Constraints for Counterfactual Fairness
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    Chapter 38 F3: Fair and Federated Face Attribute Classification with Heterogeneous Data
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    Chapter 39 Estimating the Risk of Individual Discrimination of Classifiers
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    Chapter 40 Multi-fair Capacitated Students-Topics Grouping Problem
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    Chapter 41 GroupMixNorm Layer for Learning Fair Models
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    Chapter 42 Quantifying the Bias of Transformer-Based Language Models for African American English in Masked Language Modeling
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    Chapter 43 Fairness for Robust Learning to Rank