Database and Expert Systems Applications

Table of Contents

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   Book Overview
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   Chapter 1 RD-Classifier: Reduced Dimensionality Classifier for Alzheimer’s Diagnosis Support System
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   Chapter 2 User Interaction-Aware Knowledge Graphs for Recommender Systems
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   Chapter 3 How Does the System Perceive Me? — A Transparent and Tunable Recommender System
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   Chapter 4 MERIHARI-Area Tour Planning by Considering Regional Characteristics
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   Chapter 5 Financial Argument Quality Assessment in Earnings Conference Calls
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   Chapter 6 Explaining Decisions of Black-Box Models Using BARBE
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   Chapter 7 Efficient Video Captioning with Frame Similarity-Based Filtering
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   Chapter 8 Trace-Based Anomaly Detection with Contextual Sequential Invocations
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    Chapter 9 Fusing Fine-Grained Information of Sequential News for Personalized News Recommendation
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    Chapter 10 A Finite-Domain Constraint-Based Approach on the Stockyard Planning Problem
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    Chapter 11 Data Analytics Framework for Smart Waste Management Optimisation: A Key to Sustainable Future for Councils and Communities
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    Chapter 12 Hierarchy-Aware Bilateral-Branch Network for Imbalanced Hierarchical Text Classification
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    Chapter 13 Multi-Feature and Multi-Channel GCNs for Aspect Based Sentiment Analysis
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    Chapter 14 Knowledge Injection for Aspect-Based Sentiment Classification
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    Chapter 15 Towards Ensemble-Based Imbalanced Text Classification Using Metric Learning
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    Chapter 16 Target and Precursor Named Entities Recognition from Scientific Texts of High-Temperature Steel Using Deep Neural Network
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    Chapter 17 Enabling PII Discovery in Textual Data via Outlier Detection
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    Chapter 18 An Efficient Embedding Framework for Uncertain Attribute Graph
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    Chapter 19 Double-Layer Attention for Long Sequence Time-Series Forecasting
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    Chapter 20 Multi-core Adaptive Merging of the Secondary Index for LSM-Based Stores
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    Chapter 21 CAGAIN: Column Attention Generative Adversarial Imputation Networks
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    Chapter 22 CF-SAFF: Collaborative Filtering Based on Self-attention Mechanism and Feature Fusion
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    Chapter 23 Except-Condition Generative Adversarial Network for Generating Trajectory Data
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    Chapter 24 Next POIs Prediction for Group Recommendations: Influence-Based Deep Learning Model
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    Chapter 25 Interpreting Deep Text Quantification Models
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    Chapter 26 NExtGCN: Modeling Node Importance of Graph Convolution Network by Neighbor Excitation for Recommendation
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    Chapter 27 Dual Congestion-Aware Route Planning for Tourists by Multi-agent Reinforcement Learning
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    Chapter 28 Subspace Clustering Technique Using Multi-objective Functions for Multi-class Categorical Data
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    Chapter 29 Multi-task Graph Neural Network for Optimizing the Structure Fairness
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    Chapter 30 Few-Shot Multi-label Aspect Category Detection Utilizing Prototypical Network with Sentence-Level Weighting and Label Augmentation
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    Chapter 31 Toward Healthy Aging: Temporal Regression for Disability Prediction and Warning Decision-Making
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    Chapter 32 A Label Embedding Method via Conditional Covariance Maximization for Multi-label Classification
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    Chapter 33 Integrally Private Model Selection for Deep Neural Networks
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    Chapter 34 Gaussian Process Component Mining with the Apriori Algorithm
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    Chapter 35 Learnable Filter Components for Social Recommendation
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    Chapter 36 Efficient Machine Learning-Based Prediction of CYP450 Inhibition
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    Chapter 37 A Machine-Learning Framework for Supporting Content Recommendation via User Feedback Data and Content Profiles in Content Managements Systems
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    Chapter 38 Fine-Tuning Pre-Trained Model for Consumer Fraud Detection from Consumer Reviews
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    Chapter 39 Deep Multi-interaction Hidden Interest Evolution Network for Click-Through Rate Prediction
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    Chapter 40 Temporal Semantic Attention Network for Aspect-Based Sentiment Analysis
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    Chapter 41 Celestial Machine Learning