The two-volume set, LNCS 14146 and 14147 constitutes the thoroughly refereed proceedings of the 34th International Conference on Database and Expert Systems Applications, DEXA 2023, held in Penang, Malaysia, in August 2023.
The 49 full papers presented together with 35 short papers were carefully reviewed and selected from a total of 155 submissions. The papers are organized in topical sections as follows:
Part I: Data modeling; database design; query optimization; knowledge representation;
Part II: Rule-based systems; natural language processing; deep learning; neural networks.
Rule-Based Systems.- RD-Classifier: Reduced Dimensionality Classifier
for Alzheimers Diagnosis Sup-port System.- User Interactions-aware Knowledge
Graphs for Recommender Systems.- How Does the System Perceive Me? --- A
Transparent and Tunable Recommender System.- MERIHARI-Area Tour Planning by
Considering Regional Characteristics. -Financial Argument Quality Assessment
in Earnings Conference Calls.- Explaining Decisions of Black-box Models using
BARBE.- Efficient Video Captioning with Frame Similarity-based Filtering.-
Trace-based Anomaly Detection with Contextual Sequential Invocations.- Fusing
Fine-grained Information of Sequential News for Personalized News
Recommendation.- A Finite- Domain Constraint-based Approach on the Stockyard
Planning Problem.- Data Analytics Framework for Smart Waste Management
Optimisation: A Key to Sustainable Future for Councils and Communities.-
Natural Language Processing.- Hierarchy-aware Bilateral-Branch Network for
Imbalanced Hierarchical TextClassification.- Multi-Feature and Multi-Channel
GCNs for Aspect Based Sentiment Analysis.- Knowledge Injection for
Aspect-Based Sentiment Classification.- Towards Ensemble-based Imbalanced
Text Classification using Metric Learning.- Target and Precursor named
entities recognition from scientific texts of high-temperature steel using
deep neural network.- Enabling PII Discovery in Textual Data via Outlier
Detection. -Deep Learning.- An Efficient Embedding Framework for Uncertain
Attribute Graph.- Double-layer Attention for Long Sequence Time-Series
Forecasting.- Multi-core Adaptive Merging of the Secondary Index for
LSM-based Stores.- CAGAIN: Column Attention Generative Adversarial Imputation
Networks.- CF-SAFF: Collaborative Filtering based on Self-Attention Mechanism
and Feature Fusion.- Except-Condition Generative Adversarial Network for
Generating Trajectory Data. - Next POIs Prediction for Group Recommendations:
Influence-based Deep Learning Model. - Interpreting Deep Text Quantification
Models.- NExtGCN: Modeling Node Importance of Graph Convolution Network by
Neighbor Excitation for Recommendation.- Dual Congestion-aware Route Planning
for Tourists by Multi-agent Reinforcement Learning.- Subspace Clustering
Technique Using Multi-Objective Functions for Multi-class Categorical Data.-
Neural Networks.- Multi-task Graph Neural Network for Optimizing the
Structure Fairness.- Few-Shot Multi-Label Aspect Category Detection Utilizing
Prototypical Network with Sentence-Level Weighting and Label Augmentation.-
Toward Healthy Aging: Temporal Regression for Disability Prediction and
Warning Decision-Making.- A Label Embedding Method via Conditional Covariance
Maximization for Mul-ti-label Classification.- Integrally Private Model
Selection for Deep Neural Networks.- Gaussian Process Component Mining with
the Apriori Algorithm.- Learnable Filter Components For Social
Recommendation.- Efficient Machine Learning-Based Prediction of CYP450
Inhibition.- A Machine-Learning Framework for Supporting Content
Recommendation via User Feedback Data and Content Profiles in Content
Managements Systems.- Fine-tuning Pre-Trained Model for Consumer Fraud
Detection from Consumer Reviews.- Deep Multi-Interaction Hidden Interest
Evolution Network for Click-through Rate Prediction.- Temporal Semantic
Attention Network for Aspect-Based Sentiment Analysis.- Celestial Machine
Learning from Data to Mars and Beyond with AI Feynman.
Lisainfo e-raamatute kohta