ADBIS Short Papers: Index Management & Data Reconstruction
Estimating iSAX Parameters for Efficiency
RILCE: Resource Indexing in Large Connected Environments
ADBIS Short Papers: Query Processing
A Cost-Effective Query Optimizer for Multi-Tenant Parallel DBMSs
Video Situation Monitoring for Improving Quality of Life
Remembering the Forgotten: Clustering, Outlier Detection, and Accuracy Tuning in a Postdiction Pipeline
ADBIS Short Papers: Advanced Querying Techniques
Diversification of Top-k Geosocial Queries
Multi-disciplinary research : Open Science Data Lake
Be High on Emotion: Coping with emotions when querying data
ADBIS Short Papers: Fairness in Data Management
Exploring Biases for Privacy-Preserving Phonetic Matching
Multi-Objective Fairness in Team Assembly
ADBIS Short Papers: Data Science
A Comparative Study of Assessment Metrics for Imbalanced Learning
A Hybrid GNN approach for predicting node data for 3D meshes
Transformers and Attention Mechanism for Web Classification and Porn Detection
Analysing robustness of tiny deep neural networks
ADBIS Short Papers: Temporal Graph Management
Semantic Centrality for Temporal Graphs
A knowledge graph for query-induced analyses of hierarchically structured time series information
ADBIS Short Papers: Consistent Data Management
Eventually-Consistent Replicated Relations and Updatable Views
Mining totally ordered sequential rules to provide timely recommendations
ADBIS Short Papers: Data Integration
Streaming Approach to Schema Profiling
Using ChatGPT for Entity Matching
CONSchema: Schema matching with semantics and constraints
ADBIS Short Papers: Data Quality
Context-aware Data Quality Management Methodology
Thesaurus-based Transformation: A Classification Method for Real Dirty Data
ADBIS Short Papers: Metadata Management
Mobile Feature-oriented Knowledge Base Generation Using Knowledge Graphs
NoSQL Schema Extraction from Temporal Conceptual Model: A Case for Cassandra
Contributions from ADBIS 2023 Workshops and Doctoral Consortium
Databases and Information Systems: Contributions from ADBIS 2023 Workshops and Doctoral Consortium
AIDMA: 1st Workshop on Advanced AI Techniques for Data Management, Analytics
Data exploration based on local attribution explanation: a medical use case
Explainability based on Feature Importance for Better Comprehension of Machine Learning in Healthcare
An Empirical Study on the Robustness of Active Learning for Biomedical Image Classification under Model Transfer Scenarios
Evaluating the Robustness of ML Models To Out-of-Distribution Data Through Similarity Analysis
Holistic Analytics of Sensor Data From Renewable Energy Sources: A Vision Paper
DOING: 4th Workshop on Intelligent Data - From Data to Knowledge
Labelling Portuguese Man-of-War Posts Collected from Instagram
Semantic Business Trajectories Modeling, Analysis
A Text Mining Pipeline for Mining the Quantum Cascade Laser Properties
Ensemble Learning based Quantum Text Classifiers
Exploring the Capabilities, Limitations of VQC, QSVC for Sentiment Analysis on Real-World, Synthetic Datasets
K-Gals: 2nd Workshop on Knowledge Graphs Analysis on a Large Scale
P2KG: Declarative Construction, Quality Evaluation of Knowledge Graph from Polystores
Using Knowledge Graphs to Model Green Investment Opportunities
Knowledge Graphs Embeddings for Link Prediction in the Context of Sustainability
An ArchiMate-Based Thematic Knowledge Graph for Low-Code Software Development Domain
A Knowledge Graph to Analyze Clinical Patient Data
MADEISD: 5th Workshop on Modern Approaches in Data Engineering, Information System Design
Towards automatic conceptual database design based on heterogeneous source artifacts
Lightweight Aspect-Oriented Software Product Lines with Automated Product Derivation
Comparison of selected neural network models used for automatic liver tumor segmentation
Intelligent index tuning using reinforcement learning
Automatic Indexing for MongoDB
From High-Level Language to Abstract Machine Code: An Interactive Compiler, Emulation Tool for Teaching Structural Operational Semantics
Decentralised Solutions for Preserving Privacy in Group Recommender Systems
PeRS: 2nd Workshop on Personalization, Recommender Systems
A Recommendation System for Personalized Daily Life Services to Promote Frailty Prevention
Design-focused Development of a Course Recommender System for Digital Study Planning
Systematic Literature Review on Click Through Rate Prediction
Overcoming the Cold-Start Problem in Recommendation Systems with Ontologies, Knowledge Graphs
Recommender Chatbot as a Tool for Collaborative Business Intelligence in Tourism Domain
Neural Graph Collaborative Filtering: analysis of possibilities on diverse datasets
Performance, reproducibility of BERT4Rec on Netflix Price Dataset
Doctoral Consortium
Towards reliable machine learning
Tackling the RecSys Side Effects via Deep Learning Approaches
Toward a researcher-in-the loop driver curation approach for quantitative and qualitative research methods
Deep learning techniques for television broadcast recognition
Process Mining solutions for public administration
Intelligent Technologies for Urban Progress: Exploring the Role of AI and Advanced Telecommunications in Smart City Evolution
Automatic Discovery of Zones of Interests with Maritime Trajectory Mining.