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New Trends in Database and Information Systems

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Cover of 'New Trends in Database and Information Systems'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Estimating i SAX Parameters for Efficiency
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    Chapter 2 RILCE: Resource Indexing in Large Connected Environments
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    Chapter 3 A Cost-Effective Query Optimizer for Multi-tenant Parallel DBMSs
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    Chapter 4 Video Situation Monitoring to Improve Quality of Life
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    Chapter 5 Remembering the Forgotten: Clustering, Outlier Detection, and Accuracy Tuning in a Postdiction Pipeline
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    Chapter 6 Diversification of Top-k Geosocial Queries
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    Chapter 7 Multi-disciplinary Research: Open Science Data Lake
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    Chapter 8 Be High on Emotion: Coping with Emotions and Emotional Intelligence when Querying Data
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    Chapter 9 Exploring Biases for Privacy-Preserving Phonetic Matching
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    Chapter 10 Multi-Objective Fairness in Team Assembly
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    Chapter 11 A Comparative Study of Assessment Metrics for Imbalanced Learning
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    Chapter 12 A Hybrid GNN Approach for Predicting Node Data for 3D Meshes
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    Chapter 13 Transformers and Attention Mechanism for Website Classification and Porn Detection
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    Chapter 14 Analysing Robustness of Tiny Deep Neural Networks
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    Chapter 15 Semantic Centrality for Temporal Graphs
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    Chapter 16 A Knowledge Graph for Query-Induced Analyses of Hierarchically Structured Time Series Information
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    Chapter 17 Eventually-Consistent Replicated Relations and Updatable Views
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    Chapter 18 Mining Totally Ordered Sequential Rules to Provide Timely Recommendations
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    Chapter 19 Streaming Approach to Schema Profiling
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    Chapter 20 Using ChatGPT for Entity Matching
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    Chapter 21 CONSchema: Schema Matching with Semantics and Constraints
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    Chapter 22 Context-Aware Data Quality Management Methodology
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    Chapter 23 Thesaurus-Based Transformation: A Classification Method for Real Dirty Data
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    Chapter 24 Mobile Feature-Oriented Knowledge Base Generation Using Knowledge Graphs
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    Chapter 25 NoSQL Schema Extraction from Temporal Conceptual Model: A Case for Cassandra
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    Chapter 26 Databases and Information Systems: Contributions from ADBIS 2023 Workshops and Doctoral Consortium
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    Chapter 27 Data Exploration Based on Local Attribution Explanation: A Medical Use Case
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    Chapter 28 Explainability Based on Feature Importance for Better Comprehension of Machine Learning in Healthcare
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    Chapter 29 An Empirical Study on the Robustness of Active Learning for Biomedical Image Classification Under Model Transfer Scenarios
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    Chapter 30 Evaluating the Robustness of ML Models to Out-of-Distribution Data Through Similarity Analysis
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    Chapter 31 Holistic Analytics of Sensor Data from Renewable Energy Sources: A Vision Paper
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    Chapter 32 Labeling Portuguese Man-of-War Posts Collected from Instagram
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    Chapter 33 Semantic Business Trajectories Modeling and Analysis
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    Chapter 34 A Text Mining Pipeline for Mining the Quantum Cascade Laser Properties
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    Chapter 35 Ensemble Learning Based Quantum Text Classifiers
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    Chapter 36 Exploring the Capabilities and Limitations of VQC and QSVC for Sentiment Analysis on Real-World and Synthetic Datasets
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    Chapter 37 P2KG: Declarative Construction and Quality Evaluation of Knowledge Graph from Polystores
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    Chapter 38 Using Knowledge Graphs to Model Green Investment Opportunities
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    Chapter 39 Knowledge Graphs Embeddings for Link Prediction in the Context of Sustainability
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    Chapter 40 An ArchiMate-Based Thematic Knowledge Graph for Low-Code Software Development Domain
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    Chapter 41 A Knowledge Graph to Analyze Clinical Patient Data
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    Chapter 42 Towards Automatic Conceptual Database Design Based on Heterogeneous Source Artifacts
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    Chapter 43 Lightweight Aspect-Oriented Software Product Lines with Automated Product Derivation
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    Chapter 44 Comparison of Selected Neural Network Models Used for Automatic Liver Tumor Segmentation
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    Chapter 45 Intelligent Index Tuning Using Reinforcement Learning
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    Chapter 46 Automatic Indexing for MongoDB
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    Chapter 47 From High-Level Language to Abstract Machine Code: An Interactive Compiler and Emulation Tool for Teaching Structural Operational Semantics
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    Chapter 48 Decentralised Solutions for Preserving Privacy in Group Recommender Systems
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    Chapter 49 A Recommendation System for Personalized Daily Life Services to Promote Frailty Prevention
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    Chapter 50 Design-Focused Development of a Course Recommender System for Digital Study Planning
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    Chapter 51 Systematic Literature Review on Click Through Rate Prediction
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    Chapter 52 Overcoming the Cold-Start Problem in Recommendation Systems with Ontologies and Knowledge Graphs
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    Chapter 53 Recommender Chatbot as a Tool for Collaborative Business Intelligence in Tourism Domain
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    Chapter 54 Neural Graph Collaborative Filtering: Analysis of Possibilities on Diverse Datasets
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    Chapter 55 Performance and Reproducibility of BERT4Rec
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    Chapter 56 Towards Reliable Machine Learning
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    Chapter 57 Tackling the RecSys Side Effects via Deep Learning Approaches
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    Chapter 58 Towards a Researcher-in-the-loop Driven Curation Approach for Quantitative and Qualitative Research Methods
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    Chapter 59 Deep Learning Techniques for Television Broadcast Recognition
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    Chapter 60 Process Mining Solutions for Public Administration
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    Chapter 61 Intelligent Technologies for Urban Progress: Exploring the Role of AI and Advanced Telecommunications in Smart City Evolution
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    Chapter 62 Automatic Discovery of Zones of Interests with Maritime Trajectory Mining
Attention for Chapter 8: Be High on Emotion: Coping with Emotions and Emotional Intelligence when Querying Data
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Chapter title
Be High on Emotion: Coping with Emotions and Emotional Intelligence when Querying Data
Chapter number 8
Book title
New Trends in Database and Information Systems
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-42941-5_8
Book ISBNs
978-3-03-142940-8, 978-3-03-142941-5
Authors

Bimonte, Sandro, Marcel, Patrick, Rizzi, Stefano

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