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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
Attention for Chapter 28: Simultaneous ECG Heartbeat Segmentation and Classification with Feature Fusion and Long Term Context Dependencies
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Chapter title
Simultaneous ECG Heartbeat Segmentation and Classification with Feature Fusion and Long Term Context Dependencies
Chapter number 28
Book title
Advances in Knowledge Discovery and Data Mining
Published by
Springer, Cham, May 2020
DOI 10.1007/978-3-030-47436-2_28
Book ISBNs
978-3-03-047435-5, 978-3-03-047436-2
Authors

Xi Qiu, Shen Liang, Yanchun Zhang, Qiu, Xi, Liang, Shen, Zhang, Yanchun

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Librarian 1 14%
Professor > Associate Professor 1 14%
Researcher 1 14%
Student > Master 1 14%
Other 0 0%
Unknown 1 14%
Readers by discipline Count As %
Computer Science 2 29%
Nursing and Health Professions 1 14%
Unspecified 1 14%
Neuroscience 1 14%
Engineering 1 14%
Other 0 0%
Unknown 1 14%