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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 Fashion Recommendation with Multi-relational Representation Learning
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    Chapter 2 Off-Policy Recommendation System Without Exploration
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    Chapter 3 GAMMA: A Graph and Multi-view Memory Attention Mechanism for Top-N Heterogeneous Recommendation
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    Chapter 4 Collaborative Recommendation of Temporally-Discounted Tag-Based Expertise for Community Question Answering
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    Chapter 5 Relation Embedding for Personalised Translation-Based POI Recommendation
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    Chapter 6 FlowRec: Prototyping Session-Based Recommender Systems in Streaming Mode
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    Chapter 7 Accurate News Recommendation Coalescing Personal and Global Temporal Preferences
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    Chapter 8 A Hybrid Recommendation for Music Based on Reinforcement Learning
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    Chapter 9 Relational Metric Learning with Dual Graph Attention Networks for Social Recommendation
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    Chapter 10 Modeling Users’ Multifaceted Interest Correlation for Social Recommendation
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    Chapter 11 Modeling POI-Specific Spatial-Temporal Context for Point-of-Interest Recommendation
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    Chapter 12 MsFcNET: Multi-scale Feature-Crossing Attention Network for Multi-field Sparse Data
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    Chapter 13 Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning
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    Chapter 14 Joint Relational Dependency Learning for Sequential Recommendation
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    Chapter 15 Modelling Temporal Dynamics and Repeated Behaviors for Recommendation
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    Chapter 16 HIN: Hierarchical Inference Network for Document-Level Relation Extraction
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    Chapter 17 Multi-Layer Cross Loss Model for Zero-Shot Human Activity Recognition
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    Chapter 18 Hierarchical Gradient Smoothing for Probability Estimation Trees
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    Chapter 19 Optimized Transformer Models for FAQ Answering
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    Chapter 20 Online Algorithms for Multiclass Classification Using Partial Labels
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    Chapter 21 What’s in a Gist? Towards an Unsupervised Gist Representation for Few-Shot Large Document Classification
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    Chapter 22 SGCN: A Graph Sparsifier Based on Graph Convolutional Networks
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    Chapter 23 Fast Community Detection with Graph Sparsification
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    Chapter 24 Deep Multimodal Clustering with Cross Reconstruction
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    Chapter 25 Deep Multivariate Time Series Embedding Clustering via Attentive-Gated Autoencoder
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    Chapter 26 Spectral Clustering by Subspace Randomization and Graph Fusion for High-Dimensional Data
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    Chapter 27 Decentralized and Adaptive K-Means Clustering for Non-IID Data Using HyperLogLog Counters
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    Chapter 28 Detecting Arbitrarily Oriented Subspace Clusters in Data Streams Using Hough Transform
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    Chapter 29 Strong Baselines for Author Name Disambiguation with and Without Neural Networks
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    Chapter 30 Retrofitting Embeddings for Unsupervised User Identity Linkage
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    Chapter 31 Image Analysis Enhanced Event Detection from Geo-Tagged Tweet Streams
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    Chapter 32 TemporalGAT: Attention-Based Dynamic Graph Representation Learning
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    Chapter 33 MSGE: A Multi-step Gated Model for Knowledge Graph Completion
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    Chapter 34 Attention-Based Graph Evolution
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    Chapter 35 Quality-Aware Streaming Network Embedding with Memory Refreshing
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    Chapter 36 Correlation Matters: Multi-scale Fine-Grained Contextual Information Extraction for Hepatic Tumor Segmentation
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    Chapter 37 Context-Aware Latent Dirichlet Allocation for Topic Segmentation
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    Chapter 38 SubRank: Subgraph Embeddings via a Subgraph Proximity Measure
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    Chapter 39 Self-supervised Learning for Semi-supervised Time Series Classification
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    Chapter 40 SLGAT: Soft Labels Guided Graph Attention Networks
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    Chapter 41 Learning Multigraph Node Embeddings Using Guided Lévy Flights
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    Chapter 42 Mobility Irregularity Detection with Smart Transit Card Data
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    Chapter 43 BRUNCH: Branching Structure Inference of Hybrid Multivariate Hawkes Processes with Application to Social Media
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    Chapter 44 Student Academic Performance Prediction Using Deep Multi-source Behavior Sequential Network
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    Chapter 45 FCP Filter: A Dynamic Clustering-Prediction Framework for Customer Behavior
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    Chapter 46 CrowdQM: Learning Aspect-Level User Reliability and Comment Trustworthiness in Discussion Forums
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    Chapter 47 6GCVAE: Gated Convolutional Variational Autoencoder for IPv6 Target Generation
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    Chapter 48 DELAFO: An Efficient Portfolio Optimization Using Deep Neural Networks
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    Chapter 49 CACRNN: A Context-Aware Attention-Based Convolutional Recurrent Neural Network for Fine-Grained Taxi Demand Prediction
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    Chapter 50 Prototype Similarity Learning for Activity Recognition
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    Chapter 51 Case-Sensitive Neural Machine Translation
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    Chapter 52 Attribute-Driven Capsule Network for Entity Relation Prediction
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    Chapter 53 Estimation of Conditional Mixture Weibull Distribution with Right Censored Data Using Neural Network for Time-to-Event Analysis
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    Chapter 54 Dual-Component Deep Domain Adaptation: A New Approach for Cross Project Software Vulnerability Detection
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    Chapter 55 Code Action Network for Binary Function Scope Identification
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    Chapter 56 Multi-level Memory Network with CRFs for Keyphrase Extraction
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    Chapter 57 Inter-sentence and Implicit Causality Extraction from Chinese Corpus
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    Chapter 58 Accelerating Hyperparameter Optimization of Deep Neural Network via Progressive Multi-Fidelity Evaluation
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    Chapter 59 Curiosity-Driven Variational Autoencoder for Deep Q Network
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    Chapter 60 Estimating Descriptors for Large Graphs
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    Chapter 61 A Framework for Feature Selection to Exploit Feature Group Structures
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    Chapter 62 Group Based Unsupervised Feature Selection
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    Chapter 63 Cross-data Automatic Feature Engineering via Meta-learning and Reinforcement Learning
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    Chapter 64 Discretization and Feature Selection Based on Bias Corrected Mutual Information Considering High-Order Dependencies
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    Chapter 65 JarKA: Modeling Attribute Interactions for Cross-lingual Knowledge Alignment
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    Chapter 66 Multiple Demographic Attributes Prediction in Mobile and Sensor Devices
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    Chapter 67 Human Activity Recognition Using Semi-supervised Multi-modal DEC for Instagram Data
Attention for Chapter 42: Mobility Irregularity Detection with Smart Transit Card Data
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Chapter title
Mobility Irregularity Detection with Smart Transit Card Data
Chapter number 42
Book title
Advances in Knowledge Discovery and Data Mining
Published by
Springer, Cham, May 2020
DOI 10.1007/978-3-030-47426-3_42
Book ISBNs
978-3-03-047425-6, 978-3-03-047426-3
Authors

Xuesong Wang, Lina Yao, Wei Liu, Can Li, Lei Bai, S. Travis Waller, Wang, Xuesong, Yao, Lina, Liu, Wei, Li, Can, Bai, Lei, Waller, S. Travis

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 38%
Student > Master 3 23%
Researcher 2 15%
Student > Doctoral Student 1 8%
Student > Bachelor 1 8%
Other 0 0%
Unknown 1 8%
Readers by discipline Count As %
Engineering 5 38%
Computer Science 3 23%
Biochemistry, Genetics and Molecular Biology 1 8%
Social Sciences 1 8%
Earth and Planetary Sciences 1 8%
Other 0 0%
Unknown 2 15%

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