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Advances in Knowledge Discovery and Data Mining

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Cover of 'Advances in Knowledge Discovery and Data Mining'

Table of Contents

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    Book Overview
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    Chapter 1 Adversarial Autoencoder and Multi-Task Semi-Supervised Learning for Multi-stage Process
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    Chapter 2 PEARL: Probabilistic Exact Adaptive Random Forest with Lossy Counting for Data Streams
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    Chapter 3 Mining Dynamic Graph Streams for Predictive Queries Under Resource Constraints
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    Chapter 4 Tree-Miner: Mining Sequential Patterns from SP-Tree
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    Chapter 5 MemMAP: Compact and Generalizable Meta-LSTM Models for Memory Access Prediction
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    Chapter 6 A Proximity Weighted Evidential k Nearest Neighbor Classifier for Imbalanced Data
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    Chapter 7 On the Performance of Oversampling Techniques for Class Imbalance Problems
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    Chapter 8 Mining Locally Trending High Utility Itemsets
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    Chapter 9 Optimal Subgroup Discovery in Purely Numerical Data
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    Chapter 10 Data-Free Adversarial Perturbations for Practical Black-Box Attack
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    Chapter 11 Secure and Accurate Two-Step Hash Encoding for Privacy-Preserving Record Linkage
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    Chapter 12 Assessing Centrality Without Knowing Connections
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    Chapter 13 Deep Cost-Sensitive Kernel Machine for Binary Software Vulnerability Detection
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    Chapter 14 TCN-ATT: A Non-recurrent Model for Sequence-Based Malware Detection
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    Chapter 15 dK-Microaggregation: Anonymizing Graphs with Differential Privacy Guarantees
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    Chapter 16 MIRD-Net for Medical Image Segmentation
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    Chapter 17 JPLink: On Linking Jobs to Vocational Interest Types
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    Chapter 18 Exploiting the Matching Information in the Support Set for Few Shot Event Classification
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    Chapter 19 Chinese Sentence Semantic Matching Based on Multi-Granularity Fusion Model
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    Chapter 20 Reliable Aggregation Method for Vector Regression Tasks in Crowdsourcing
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    Chapter 21 Balancing Exploration and Exploitation in Self-imitation Learning
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    Chapter 22 Mask-Guided Region Attention Network for Person Re-Identification
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    Chapter 23 Multi-view Deep Gaussian Process with a Pre-training Acceleration Technique
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    Chapter 24 Semantics-Reconstructing Hashing for Cross-Modal Retrieval
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    Chapter 25 Connecting the Dots: Hypotheses Generation by Leveraging Semantic Shifts
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    Chapter 26 Efficient Database Search via Tensor Distribution Bucketing
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    Chapter 27 $$\mathsf {SAFE}$$ : Similarity-Aware Multi-modal Fake News Detection
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    Chapter 28 Simultaneous ECG Heartbeat Segmentation and Classification with Feature Fusion and Long Term Context Dependencies
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    Chapter 29 PhosTransfer: A Deep Transfer Learning Framework for Kinase-Specific Phosphorylation Site Prediction in Hierarchy
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    Chapter 30 Multi-information Source HIN for Medical Concept Embedding
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    Chapter 31 Semi-supervised Learning Approach to Generate Neuroimaging Modalities with Adversarial Training
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    Chapter 32 An Advanced Two-Step DNN-Based Framework for Arrhythmia Detection
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    Chapter 33 GAIM: G ame A ction I nformation M ining Framework for Multiplayer Online Card Games (Rummy as Case Study)
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    Chapter 34 Hydrological Process Surrogate Modelling and Simulation with Neural Networks
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    Chapter 35 Protecting IP of Deep Neural Networks with Watermarking: A New Label Helps
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    Chapter 36 Improving Multi-turn Response Selection Models with Complementary Last-Utterance Selection by Instance Weighting
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    Chapter 37 Long-Term Water Pipe Condition Assessment: A Semiparametric Model Using Gaussian Process and Survival Analysis
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    Chapter 38 Canonicalizing Knowledge Bases for Recruitment Domain
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    Chapter 39 Revisit Prediction by Deep Survival Analysis
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    Chapter 40 Node Conductance : A Scalable Node Centrality Measure on Big Networks
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    Chapter 41 Attention-Based Aggregation Graph Networks for Knowledge Graph Information Transfer
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    Chapter 42 Role Equivalence Attention for Label Propagation in Graph Neural Networks
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    Chapter 43 Bottom-Up and Top-Down Graph Pooling
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    Chapter 44 AutoSUM: Automating Feature Extraction and Multi-user Preference Simulation for Entity Summarization
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    Chapter 45 Robust Attribute and Structure Preserving Graph Embedding
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    Chapter 46 Negative Sampling for Hyperlink Prediction in Networks
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    Chapter 47 Modeling Citation Trajectories of Scientific Papers
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    Chapter 48 Drug-Disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural Network with Clinical Data
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    Chapter 49 Anomaly Detection via Neighbourhood Contrast
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    Chapter 50 LoPAD: A Local Prediction Approach to Anomaly Detection
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    Chapter 51 L0-norm Constrained Autoencoders for Unsupervised Outlier Detection
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    Chapter 52 Correlation-Aware Deep Generative Model for Unsupervised Anomaly Detection
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    Chapter 53 Using Bandits for Effective Database Activity Monitoring
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    Chapter 54 Identifying Near-Miss Traffic Incidents in Event Recorder Data
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    Chapter 55 A Relation Learning Hierarchical Framework for Multi-label Charge Prediction
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    Chapter 56 ITGH: Information-Theoretic Granger Causal Inference on Heterogeneous Data
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    Chapter 57 Learning to Select Important Context Words for Event Detection
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    Chapter 58 Inferring Restricted Regular Expressions with Interleaving from Positive and Negative Samples
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    Chapter 59 Fusion-Extraction Network for Multimodal Sentiment Analysis
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    Chapter 60 Learning Discriminative Neural Sentiment Units for Semi-supervised Target-Level Sentiment Classification
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    Chapter 61 EMOVA: A Semi-supervised End-to-End Moving-Window Attentive Framework for Aspect Mining
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    Chapter 62 Level Set Estimation with Search Space Warping
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    Chapter 63 An Empirical Model for n -gram Frequency Distribution in Large Corpora
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    Chapter 64 Towards Understanding Transfer Learning Algorithms Using Meta Transfer Features
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    Chapter 65 Tendi: Tensor Disaggregation from Multiple Coarse Views
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    Chapter 66 A Distributed Coordinate Descent Algorithm for Learning Factorization Machine
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    Chapter 67 Optimal Topology Search for Fast Model Averaging in Decentralized Parallel SGD
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    Chapter 68 Data Centers Job Scheduling with Deep Reinforcement Learning
Overall attention for this book and its chapters
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Title
Advances in Knowledge Discovery and Data Mining
Published by
Springer International Publishing, July 2020
DOI 10.1007/978-3-030-47436-2
ISBNs
978-3-03-047435-5, 978-3-03-047436-2
Editors

Lauw, Hady W., Wong, Raymond Chi-Wing, Ntoulas, Alexandros, Lim, Ee-Peng, Ng, See-Kiong, Pan, Sinno Jialin

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