๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Data Management Technologies and Applications (Communications in Computer and Information Science)

โœ Scribed by Alfredo Cuzzocrea (editor), Oleg Gusikhin (editor), Slimane Hammoudi (editor), Christoph Quix (editor)


Publisher
Springer
Year
2023
Tongue
English
Leaves
256
Category
Library

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โœฆ Synopsis


This book constitutes the refereed post-proceedings of the 10th International Conference and 11th International Conference on Data Management Technologies and Applications, DATA 2021 and DATA 2022, was held virtually due to the COVID-19 crisis on July 6โ€“8, 2021 and in Lisbon, Portugal on July 11-13, 2022.

The 11 full papers included in this book were carefully reviewed and selected from 148 submissions. They were organized in topical sections as follows: engineers and practitioners interested on databases, big data, data mining, data management, data security and other aspects of information systems and technology involving advanced applications of data.

โœฆ Table of Contents


Preface
Organization
Contents
A Survey-Based Evaluation of the Data Engineering Maturity in Practice
1 Introduction
2 Background
3 Research Methodology
3.1 Survey Design and Execution
3.2 Data Analysis
4 Results
4.1 Data Engineering Maturity: Theory vs Practice
4.2 Data Engineering Maturity: Specific Topics
4.3 Data Engineering Maturity: Results per Phase
5 Conclusion
References
Automating Data Quality Monitoring with Reference Data Profiles
1 Introduction
2 Problem Statement and Related Work
2.1 The Theoretical Perspective: DQ Dimensions and Metrics
2.2 The Practitioners Perspective: DQ Rules and Problems
2.3 Knowledge Graphs for Data Integration
3 An Approach for Automated Data Quality Monitoring
4 DQ-MeeRKat: Monitoring Data Quality with RDPs
4.1 Components for Initialization Phase
4.2 Components for DQ Monitoring
5 Experiments and Results
5.1 Evaluation Data
5.2 Experimental Setup
5.3 Qualitative Evaluation
5.4 Experiment 1: Monitor the Quality of Batch-Loaded Data
5.5 Experiment 2: Monitor the Quality of Streaming Data
6 Conclusion and Future Work
References
Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews
1 Introduction
1.1 Use Case: Online Physician Reviews
1.2 Unique Feature: Implicit Aspect Mentions
1.3 Course of Action
2 Related Literature
2.1 Online Physician Reviews
2.2 Aspect-based Sentiment Analysis
2.3 Deep Learning for ABSA
2.4 Quantifying Evaluative Phrases
2.5 Correlation with Metadata
3 Underlying Raw Data
4 Annotation Process and Dataset Preparation
4.1 Annotation Process for the Aspect Terms
4.2 Preparation of Further Datasets
5 Model Training
6 Application to Physician Reviews
6.1 Recognition of Aspect Classes, Polarity and Importance
6.2 Correlation Analyses
7 Conclusion
References
SubTempora: A Hybrid Approach for Optimising Subgraph Searching
1 Introduction
2 Notation, Background, and Problem Statement
3 Space-Efficient Subgraph Indexing
3.1 The Index Graph
3.2 Hashmap-Based Radix Tree (HRTree)
3.3 LinkedList-Based Radix Tree (LRTree)
4 Compact Candidate Graph Set Representation
4.1 Compressed Inverted Index
4.2 Compressed Bitmap Index
5 Evaluation
5.1 System Setup, Datasets and Queries
5.2 Parameter Selection
5.3 Performance Comparison
6 Related Work
7 Conclusions
References
Exploring Instagram and Youtube Data to Extract User Insights: The Greek Paradigm
1 Introduction
2 Related Work
3 Methodology
3.1 Problem Identification and Preparation
3.2 Data Collection and Storage
3.3 Data Exploration and Analysis
4 Results
4.1 Instagram Results
4.2 YouTube Results
4.3 Business and Influencer Marketing
4.4 Impact of COVID-19
5 Conclusions and Future Work
References
Automatic Detection of Facial Landmarks for Denture Models-4pt
1 Introduction
2 Materials and Methods
2.1 2D Facial Landmarks Annotation
2.2 3D Facial Landmarks Annotation
3 Results and Discussion
3.1 2D Facial Landmarks Annotation
3.2 3D Facial Landmarks Annotation
4 Related Work
4.1 2D Facial Landmarks Annotation
4.2 3D Facial Landmarks Annotation
5 Conclusions and Future Work
References
Combining Image and Text Matching for Product Classification in Retail

1 Introduction
2 Research Review
3 Dataset
4 Methods
4.1 Image-Based Product Classification
4.2 Text-Based Product Classification
4.3 Hybrid Approach
4.4 Implementation
4.5 Preparation of the Data
4.6 Performance Metrics
5 Results
5.1 Nearest Neighbor Classification
5.2 Feature Extraction
5.3 Feature Reduction
5.4 Performance Evaluation
5.5 Hybrid Classification Approach
6 Discussion
6.1 Advantages
6.2 Limitations
7 Future Research
References
Automatic Sentiment Labelling of Multimodal Data
1 Introduction
2 Related Work
2.1 Sentiment Labelling for Training and Testing Datasets
2.2 Text Sentiment Analysis
2.3 Multimodal Sentiment Analysis
3 Methodology
3.1 Datasets
3.2 Combined-Text-Features Preparation
3.3 Afinn Labelling and Tokenization
3.4 Image+Text-Features Preparation
3.5 Model Discussion
3.6 Experiment Details
4 Experimental Results and Discussion
5 Conclusion
References
From Cracked Accounts to Fake IDs: User Profiling on German Telegram Black Market Channels
1 Introduction
2 Domain Discovery
2.1 Black Market Entities
2.2 Black Market Relations
3 Corpus Composition
4 Profile Clustering Pipeline
4.1 Black Market Entity Recognition Model Training
4.2 Black Market Relation Extraction Model Training
4.3 Profile Creation
4.4 Profile Clustering
5 Case Study
6 Related Work
7 Conclusion and Future Work
References
Data Mining andย Machine Learning toย Predict theย Sulphur Content inย theย Hot Metal ofย aย Coke-Fired Blast Furnace
1 Introduction
2 Research Method
3 Results andย Discussions
4 Conclusions
References
Automatic Instructional Feedback, and a Lecture Hub System: A Strategy Towards Nurturing the Acquisition of a Structured Engagement Behavior
1 Introduction
2 Related Work
3 Recommendation Workflow
4 The Lecture Hub
5 SQL Exercise Analysis
6 Concept of Comparing Slides and Exercises
7 Implementation
7.1 Recognition Strategy for Joins
8 Evaluation
8.1 Performance Measures
8.2 Baseline Evaluation
8.3 Detecting Joins
8.4 Clustering Keywords
8.5 Minimal Cosine Value
9 Discussion
10 Summary and Future Work
References
Author Index


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