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Advances in Knowledge Discovery and Data Mining

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Table of Contents

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    Book Overview
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    Chapter 1 Questioning Our Attitudes and Feelings Towards Persuasive Technology
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    Chapter 1 Multitask Learning for Sparse Failure Prediction
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    Chapter 1 Semi-interactive Attention Network for Answer Understanding in Reverse-QA
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    Chapter 1 Checking Deadlock-Freedom of Parametric Component-Based Systems
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    Chapter 1 AAANE: Attention-Based Adversarial Autoencoder for Multi-scale Network Embedding
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    Chapter 2 NEAR: Normalized Network Embedding with Autoencoder for Top-K Item Recommendation
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    Chapter 2 Effects of a Virtual Model’s Pitch and Speech Rate on Affective and Cognitive Learning
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    Chapter 2 The mCRL2 Toolset for Analysing Concurrent Systems
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    Chapter 2 Cost Sensitive Learning in the Presence of Symmetric Label Noise
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    Chapter 2 Neural Network Based Popularity Prediction by Linking Online Content with Knowledge Bases
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    Chapter 3 Automatic Analysis of Consistency Properties of Distributed Transaction Systems in Maude
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    Chapter 3 Are Trackers Social Actors? The Role of Self-tracking on Self-evaluation
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    Chapter 3 Passenger Demand Forecasting with Multi-Task Convolutional Recurrent Neural Networks
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    Chapter 3 Ranking Network Embedding via Adversarial Learning
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    Chapter 3 Semantic Explanations in Ensemble Learning
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    Chapter 4 Multi-core On-The-Fly Saturation
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    Chapter 4 Selective Training: A Strategy for Fast Backpropagation on Sentence Embeddings
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    Chapter 4 Supporting and Understanding Reflection on Persuasive Technology Through a Reflection Schema
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    Chapter 4 Latent Gaussian-Multinomial Generative Model for Annotated Data
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    Chapter 4 Accurate Identification of Electrical Equipment from Power Load Profiles
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    Chapter 5 Specification and Efficient Monitoring Beyond STL
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    Chapter 5 Extracting Keyphrases from Research Papers Using Word Embeddings
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    Chapter 5 Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers
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    Chapter 5 Similarity-Aware Deep Attentive Model for Clickbait Detection
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    Chapter 5 Designing Representations of Behavioral Data with Blended Causality: An Approach to Interventions for Lifestyle Habits
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    Chapter 6 VyPR2: A Framework for Runtime Verification of Python Web Services
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    Chapter 6 Sequential Embedding Induced Text Clustering, a Non-parametric Bayesian Approach
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    Chapter 6 On Calibration of Nested Dichotomies
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    Chapter 6 Topic Attentional Neural Network for Abstractive Document Summarization
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    Chapter 6 Scrutable and Persuasive Push-Notifications
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    Chapter 7 Ensembles of Nested Dichotomies with Multiple Subset Evaluation
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    Chapter 7 Constraint-Based Monitoring of Hyperproperties
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    Chapter 7 SSNE: Status Signed Network Embedding
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    Chapter 7 Applications for Persuasive Technologies in Participatory Design Processes
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    Chapter 7 Parameter Transfer Unit for Deep Neural Networks
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    Chapter 8 Is ArguMessage Effective? A Critical Evaluation of the Persuasive Message Generation System
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    Chapter 8 Tail Probabilities for Randomized Program Runtimes via Martingales for Higher Moments
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    Chapter 8 EFCNN: A Restricted Convolutional Neural Network for Expert Finding
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    Chapter 8 Topic-Level Bursty Study for Bursty Topic Detection in Microblogs
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    Chapter 8 On the Network Embedding in Sparse Signed Networks
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    Chapter 9 MSNE: A Novel Markov Chain Sampling Strategy for Network Embedding
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    Chapter 9 Adaptively Transfer Category-Classifier for Handwritten Chinese Character Recognition
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    Chapter 9 Computing the Expected Execution Time of Probabilistic Workflow Nets
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    Chapter 9 “I Am the Eye in the Sky – Can You Read My Mind?” How to Address Public Concerns Towards Drone Use
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    Chapter 9 CRESA: A Deep Learning Approach to Competing Risks, Recurrent Event Survival Analysis
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    Chapter 10 Auto-encoder Based Co-training Multi-view Representation Learning
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    Chapter 10 Shepherding Hordes of Markov Chains
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    Chapter 10 Syntax-Aware Representation for Aspect Term Extraction
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    Chapter 10 Long-Term Traffic Time Prediction Using Deep Learning with Integration of Weather Effect
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    Chapter 10 Exploring the Validity of Methods to Track Emotions Behind the Wheel
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    Chapter 11 Robust Semi-supervised Representation Learning for Graph-Structured Data
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    Chapter 11 Optimal Time-Bounded Reachability Analysis for Concurrent Systems
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    Chapter 11 Short Text Similarity Measurement Based on Coupled Semantic Relation and Strong Classification Features
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    Chapter 11 Arrhythmias Classification by Integrating Stacked Bidirectional LSTM and Two-Dimensional CNN
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    Chapter 11 Persuading the Driver: A Framework for Persuasive Interface Design in the Automotive Domain
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    Chapter 12 Do Ethics Matter in Persuasive Technology?
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    Chapter 12 An Efficient and Resource-Aware Hashtag Recommendation Using Deep Neural Networks
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    Chapter 12 Minimal-Time Synthesis for Parametric Timed Automata
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    Chapter 12 Characterizing the SOM Feature Detectors Under Various Input Conditions
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    Chapter 12 Minimal-Time Synthesis for Parametric Timed Automata
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    Chapter 12 A Novel Hybrid Sequential Model for Review-Based Rating Prediction
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    Chapter 13 Integrating Topic Model and Heterogeneous Information Network for Aspect Mining with Rating Bias
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    Chapter 13 Environmentally-Friendly GR(1) Synthesis
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    Chapter 13 The Ethics of Persuasive Technologies in Pervasive Industry Platforms: The Need for a Robust Management and Governance Framework
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    Chapter 13 PCANE: Preserving Context Attributes for Network Embedding
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    Chapter 13 Dynamic Student Classiffication on Memory Networks for Knowledge Tracing
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    Chapter 14 A Novel Framework for Node/Edge Attributed Graph Embedding
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    Chapter 14 How Does GDPR (General Data Protection Regulation) Affect Persuasive System Design: Design Requirements and Cost Implications
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    Chapter 14 Dependency-Aware Attention Model for Emotion Analysis for Online News
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    Chapter 14 Targeted Knowledge Transfer for Learning Traffic Signal Plans
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    Chapter 14 $$\mathsf {StocHy}$$ : Automated Verification and Synthesis of Stochastic Processes
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    Chapter 15 Context-Aware Dual-Attention Network for Natural Language Inference
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    Chapter 15 Long-Term User Experience and Persuasion on 3DFysio, A Mobile Rehabilitation Application
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    Chapter 15 Multi-task Learning for Target-Dependent Sentiment Classification
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    Chapter 15 Efficiently Finding High Utility-Frequent Itemsets Using Cutoff and Suffix Utility
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    Chapter 15 Synthesis of Symbolic Controllers: A Parallelized and Sparsity-Aware Approach
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    Chapter 16 How Much Can A Retailer Sell? Sales Forecasting on Tmall
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    Chapter 16 SC-NER: A Sequence-to-Sequence Model with Sentence Classification for Named Entity Recognition
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    Chapter 16 Evaluation of Breastfeeding Mobile Health Applications Based on the Persuasive System Design Model
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    Chapter 16 Best from Top k Versus Top 1: Improving Distant Supervision Relation Extraction with Deep Reinforcement Learning
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    Chapter 16 i $$_\mathrm {Rank}$$ : A Variable Order Metric for DEDS Subject to Linear Invariants
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    Chapter 17 BAB-QA: A New Neural Model for Emotion Detection in Multi-party Dialogue
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    Chapter 17 Hierarchical LSTM: Modeling Temporal Dynamics and Taxonomy in Location-Based Mobile Check-Ins
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    Chapter 17 Towards One Reusable Model for Various Software Defect Mining Tasks
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    Chapter 17 Engaging Bystanders Using Persuasive Technology: A Meta-analysis of Influencing Factors on Moral Courage
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    Chapter 17 Binary Decision Diagrams with Edge-Specified Reductions
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    Chapter 18 User Preference-Aware Review Generation
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    Chapter 18 I Focus on Improvement: Effects of Type of Mastery Feedback on Motivational Experiences
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    Chapter 18 Unsupervised User Behavior Representation for Fraud Review Detection with Cold-Start Problem
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    Chapter 18 Recovering DTW Distance Between Noise Superposed NHPP
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    Chapter 18 Effective Entailment Checking for Separation Logic with Inductive Definitions
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    Chapter 19 Gated Convolutional Encoder-Decoder for Semi-supervised Affect Prediction
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    Chapter 19 Recovering from Work-Related Strain and Stress with the Help of a Persuasive Mobile Application: Interview-Based Thematic Analysis of Micro-entrepreneurs
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    Chapter 19 Digital Bifurcation Analysis of TCP Dynamics
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    Chapter 19 ATNet: Answering Cloze-Style Questions via Intra-attention and Inter-attention
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    Chapter 19 Mining Cluster Patterns in XML Corpora via Latent Topic Models of Content and Structure
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    Chapter 20 Verifying Safety of Synchronous Fault-Tolerant Algorithms by Bounded Model Checking
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    Chapter 20 Goal Setting for Persuasive Information Systems: Five Reference Checklists
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    Chapter 20 Parallel Mining of Top-k High Utility Itemsets in Spark In-Memory Computing Architecture
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    Chapter 20 Complaint Classification Using Hybrid-Attention GRU Neural Network
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    Chapter 20 A Large-Scale Repository of Deterministic Regular Expression Patterns and Its Applications
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    Chapter 21 Determining the Impact of Missing Values on Blocking in Record Linkage
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    Chapter 21 Robust Semi-supervised Multi-label Learning by Triple Low-Rank Regularization
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    Chapter 21 FGST: Fine-Grained Spatial-Temporal Based Regression for Stationless Bike Traffic Prediction
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    Chapter 21 A Study on Effect of Big Five Personality Traits on Ad Targeting and Creative Design
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    Chapter 21 Measuring Masking Fault-Tolerance
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    Chapter 22 Multi-class Semi-supervised Logistic I-RELIEF Feature Selection Based on Nearest Neighbor
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    Chapter 22 Bridging the Gap Between Research and Production with CODE
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    Chapter 22 Effect of Shopping Value on the Susceptibility of E-Commerce Shoppers to Persuasive Strategies and the Role of Gender
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    Chapter 22 PhASAR: An Inter-procedural Static Analysis Framework for C/C++
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    Chapter 22 Customer Segmentation Based on Transactional Data Using Stream Clustering
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    Chapter 23 Effort-Aware Tri-Training for Semi-supervised Just-in-Time Defect Prediction
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    Chapter 23 Spatio-Temporal Event Detection from Multiple Data Sources
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    Chapter 23 Actual Persuasiveness: Impact of Personality, Age and Gender on Message Type Susceptibility
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    Chapter 23 Distance2Pre: Personalized Spatial Preference for Next Point-of-Interest Prediction
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    Chapter 24 One Shot Learning with Margin
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    Chapter 24 Using Multi-objective Optimization to Solve the Long Tail Problem in Recommender System
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    Chapter 24 Discovering All-Chain Set in Streaming Time Series
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    Chapter 24 Exploring the Effectiveness of Socially-Oriented Persuasive Strategies in Education
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    Chapter 25 Social Behaviors: A Social Topology and Interaction Pattern Affect the Properties of a Changed Behavior
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    Chapter 25 Hawkes Process with Stochastic Triggering Kernel
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    Chapter 25 DeepReview: Automatic Code Review Using Deep Multi-instance Learning
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    Chapter 25 Event2Vec: Learning Event Representations Using Spatial-Temporal Information for Recommendation
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    Chapter 26 A Group Intervention to Improve Physical Activity at the Workplace
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    Chapter 26 Maximizing Gain over Flexible Attributes in Peer to Peer Marketplaces
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    Chapter 26 Multi-label Active Learning with Error Correcting Output Codes
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    Chapter 26 Concept Drift Based Multi-dimensional Data Streams Sampling Method
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    Chapter 27 Combining Behavior Change Intentions and User Types to Select Suitable Gamification Elements for Persuasive Fitness Systems
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    Chapter 27 Spatial-Temporal Multi-Task Learning for Within-Field Cotton Yield Prediction
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    Chapter 27 An Attentive Spatio-Temporal Neural Model for Successive Point of Interest Recommendation
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    Chapter 27 Dynamically Weighted Multi-View Semi-Supervised Learning for CAPTCHA
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    Chapter 28 Online Data Fusion Using Incremental Tensor Learning
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    Chapter 28 Engaging the Audience with Biased News: An Exploratory Study on Prejudice and Engagement
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    Chapter 28 Mentor Pattern Identification from Product Usage Logs
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    Chapter 28 A Novel Top-N Recommendation Approach Based on Conditional Variational Auto-Encoder
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    Chapter 29 AggregationNet: Identifying Multiple Changes Based on Convolutional Neural Network in Bitemporal Optical Remote Sensing Images
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    Chapter 29 Jaccard Coefficient-Based Bi-clustering and Fusion Recommender System for Solving Data Sparsity
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    Chapter 29 Co-clustering from Tensor Data
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    Chapter 29 Persuasive Technology, Social Representations and Ergonomics of Interfaces: A New Theoretical Articulation
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    Chapter 30 Detecting Micro-expression Intensity Changes from Videos Based on Hybrid Deep CNN
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    Chapter 30 A Data-Aware Latent Factor Model for Web Service QoS Prediction
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    Chapter 30 A Novel KNN Approach for Session-Based Recommendation
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    Chapter 31 A Contextual Bandit Approach to Personalized Online Recommendation via Sparse Interactions
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    Chapter 31 Keyword Extraction with Character-Level Convolutional Neural Tensor Networks
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    Chapter 31 A Multi-scale Recalibrated Approach for 3D Human Pose Estimation
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    Chapter 32 Neural Variational Matrix Factorization with Side Information for Collaborative Filtering
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    Chapter 32 Gossiping the Videos: An Embedding-Based Generative Adversarial Framework for Time-Sync Comments Generation
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    Chapter 32 Heterogeneous Item Recommendation for the Air Travel Industry
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    Chapter 33 Variational Deep Collaborative Matrix Factorization for Social Recommendation
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    Chapter 33 A Minimax Game for Generative and Discriminative Sample Models for Recommendation
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    Chapter 33 Self-paced Robust Deep Face Recognition with Label Noise
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    Chapter 34 RNE: A Scalable Network Embedding for Billion-Scale Recommendation
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    Chapter 34 Multi-Constraints-Based Enhanced Class-Specific Dictionary Learning for Image Classification
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    Chapter 34 Time-Dependent Survival Neural Network for Remaining Useful Life Prediction
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    Chapter 35 Discovering Senile Dementia from Brain MRI Using Ra-DenseNet
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    Chapter 35 Graph Compression with Stars
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    Chapter 35 ACNet: Aggregated Channels Network for Automated Mitosis Detection
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    Chapter 36 Granger Causality for Heterogeneous Processes
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    Chapter 36 Attention-Based Hierarchical Recurrent Neural Network for Phenotype Classification
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    Chapter 36 Neighbor-Based Link Prediction with Edge Uncertainty
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    Chapter 37 Inferring Social Bridges that Diffuse Information Across Communities
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    Chapter 37 Knowledge Graph Embedding with Order Information of Triplets
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    Chapter 37 Identifying Mobility of Drug Addicts with Multilevel Spatial-Temporal Convolutional Neural Network
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    Chapter 38 MC-eLDA: Towards Pathogenesis Analysis in Traditional Chinese Medicine by Multi-Content Embedding LDA
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    Chapter 38 Knowledge Graph Rule Mining via Transfer Learning
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    Chapter 38 Learning Pretopological Spaces to Extract Ego-Centered Communities
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    Chapter 39 Enhancing the Healthcare Retrieval with a Self-adaptive Saturated Density Function
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    Chapter 39 EigenPulse: Detecting Surges in Large Streaming Graphs with Row Augmentation
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    Chapter 39 Knowledge Base Completion by Inference from Both Relational and Literal Facts
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    Chapter 40 TPLP: Two-Phase Selection Link Prediction for Vertex in Graph Streams
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    Chapter 40 CytoFA: Automated Gating of Mass Cytometry Data via Robust Skew Factor Analzyers
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    Chapter 40 EMT: A Tail-Oriented Method for Specific Domain Knowledge Graph Completion
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    Chapter 41 Robust Temporal Graph Clustering for Group Record Linkage
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    Chapter 41 Consensus Graph Learning for Incomplete Multi-view Clustering
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    Chapter 41 An Interpretable Neural Model with Interactive Stepwise Influence
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    Chapter 42 Learning Diversified Features for Object Detection via Multi-region Occlusion Example Generating
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    Chapter 42 Multivariate Time Series Early Classification with Interpretability Using Deep Learning and Attention Mechanism
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    Chapter 42 Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection
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    Chapter 43 Clustering of Mixed-Type Data Considering Concept Hierarchies
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    Chapter 43 HATDC: A Holistic Approach for Time Series Data Repairing
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    Chapter 44 DMNAED: A Novel Framework Based on Dynamic Memory Network for Abnormal Event Detection in Enterprise Networks
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    Chapter 44 Double Weighted Low-Rank Representation and Its Efficient Implementation
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    Chapter 45 NeoLOD: A Novel Generalized Coupled Local Outlier Detection Model Embedded Non-IID Similarity Metric
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    Chapter 45 Exploring Dual-Triangular Structure for Efficient R-Initiated Tall-Skinny QR on GPGPU
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    Chapter 46 Dynamic Anomaly Detection Using Vector Autoregressive Model
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    Chapter 46 Efficient Autotuning of Hyperparameters in Approximate Nearest Neighbor Search
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    Chapter 47 An Accelerator of Feature Selection Applying a General Fuzzy Rough Model
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    Chapter 47 A Convergent Differentially Private k-Means Clustering Algorithm
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    Chapter 48 Text Feature Extraction and Selection Based on Attention Mechanism
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Title
Advances in Knowledge Discovery and Data Mining
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-16142-2
ISBNs
978-3-03-016141-5, 978-3-03-016142-2
Editors

Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang

Twitter Demographics

The data shown below were collected from the profiles of 29 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 15%
Student > Bachelor 2 10%
Student > Ph. D. Student 1 5%
Student > Master 1 5%
Student > Doctoral Student 1 5%
Other 1 5%
Unknown 11 55%
Readers by discipline Count As %
Computer Science 6 30%
Physics and Astronomy 1 5%
Social Sciences 1 5%
Engineering 1 5%
Unknown 11 55%