Database and Expert Systems Applications

Name: Database and Expert Systems Applications | 32nd International Conference, DEXA 2021, Virtual Event, September 27-30, 2021, Proceedings, Part II
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32nd International Conference, DEXA 2021, Virtual Event, September 27-30, 2021, Proceedings, Part II

Christine Strauss Gabriele Kotsis A. Min Tjoa Ismail Khalil(Herausgeber*in)

Springer (Verlag)

Erschienen am 31. August 2021

XXVIII, 361 Seiten

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978-3-030-86475-0 (ISBN)

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Inhalt

Intro
Preface
Organization
Abstracts of Keynote Talks
Privacy in the Era of Big Data, Machine Learning, IoT, and 5G
Don't Handicap AI without Explicit Knowledge
Extreme-Scale Model-Based Time Series Management with ModelarDB
Big Minds Sharing their Vision on the Future of AI (Panel)
Contents - Part II
Contents - Part I
Authenticity, Privacy, Security and Trust
Less is More: Feature Choosing under Privacy-Preservation for Efficient Web Spam Detection
1 Introduction
2 The PPGAFS Approach
2.1 Preselecting Privacy-Preserving Features
2.2 Generating Minimum Feature Subset Based on the Improved GA
3 Spam Detection and Verification Experiment Analysis
3.1 Web Spam Detection Procedure
3.2 Dataset and Evaluation Measures
3.3 Experiment Design and Result Analysis
4 Conclusion
References
Construction of Differentially Private Summaries Over Fully Homomorphic Encryption
1 Introduction
2 Preliminaries
2.1 Homomorphic Encryption
2.2 Differential Privacy
3 Related Work
3.1 Combination of Homomorphic Encryption and Differential Privacy
3.2 Range Queries Under Differential Privacy
4 Proposed Method
4.1 Overview
4.2 Adoption of Differential Privacy over Fully Homomorphic Encryption
4.3 Security Analysis
5 Experimental Evaluation
5.1 Experimental Setup
5.2 DP-Summary Construction Time
5.3 Accuracy of DP-Summary
6 Conclusion
References
SafecareOnto: A Cyber-Physical Security Ontology for Healthcare Systems
1 Introduction
2 Safecare Ontology
3 Knowledge Acquisition
4 Formalization and Implementation
4.1 Concepts Identification
4.2 Relationships Identification
4.3 Axioms Definition
4.4 Implementation
5 Safecare Use Cases
6 Related Work
7 Conclusion
References
Repurpose Image Identification for Fake News Detection
1 Introduction
2 Related Work
3 Proposed Framework
3.1 Event Type Classifier
3.2 Image Repurpose Detector
4 Experimental Evaluation
4.1 Experimental Datasets
4.2 Experiments on Event Type Classification
4.3 Comparative Study
4.4 Variants of RECAST
4.5 Case Study
5 Conclusion
References
Data and Information Processing
An Urgency-Aware and Revenue-Based Itemset Placement Framework for Retail Stores
1 Introduction
2 Proposed Framework of the Problem
3 URIP: Urgency-Aware Itemset Placement Scheme
4 Performance Evaluation
5 Conclusion
References
NV-QALSH: An NVM-Optimized Implementation of Query-Aware Locality-Sensitive Hashing
1 Introduction
2 Preliminaries
2.1 The c-ANN Search Problem
2.2 The QALSH Method
2.3 Non-Volatile Memory
2.4 LB-Tree and LB-QALSH
3 Optimization Designs
3.1 Three-Level Storage Architecture
3.2 Leaf Node Optimization
3.3 Collision Counting Granularity Optimization
4 Experiments
4.1 Experiment Setup
4.2 Datasets and Queries
4.3 Evaluation Metrics
4.4 Benchmark Methods
4.5 Results and Analysis
5 Conclusion
References
NCRedis: An NVM-Optimized Redis with Memory Caching
1 Introduction
2 Implementation of NCRedis
2.1 Architecture of NCRedis
2.2 Log-Free Designs of LFSlab
2.3 Handling Persistent Memory Leak by LFSlab
2.4 Log-Free Designs of NCRedis
3 Evaluation
3.1 Experimental Setup
3.2 Memtier Benchmark Test
4 Conclusions
References
A Highly Modular Architecture for Canned Pattern Selection Problem
1 Introduction
2 System Architecture
2.1 Graph Similarity Module
2.2 Graph Clustering Module
2.3 Graph Connection Module
2.4 Pattern Mining Module
3 Conclusions
References
AutoEncoder for Neuroimage
1 Introduction
2 The Proposed Approach
2.1 Variational AutoEncoder Based Regression
2.2 Supervised Linear Autoencoder
2.3 Implementation Details
3 Experiments
4 Conclusion
References
Knowledge Discovery
Towards New Model for Handling Inconsistency Issues in DL-Lite Knowledge Bases
1 Introduction
2 Related Works
3 DL-Lite Ontology and Management of Inconsistencies: An Overview
4 Most-Possible Repair Proposed Approach
4.1 Most-Possible Repair Algorithm
4.2 Experimental Study and Results Analysis
5 Conclusion and Prospects
References
ContextWalk: Embedding Networks with Context Information Extracted from News Articles
1 Introduction
2 Related Work
3 Dataset
3.1 Challenges
4 Algorithm
4.1 Context Embedding
4.2 ContextWalk
4.3 Complexity
5 Experiments
5.1 Compare Clusterings
5.2 Network and Embedding Distances
6 Discussion
References
FIP-SHA - Finding Individual Profiles Through SHared Accounts
1 Introduction
2 Background
3 Related Work
4 FIP-SHA
4.1 Session Representation
5 Experimental Evaluation Setup and Metrics
6 Results
6.1 Cut Off Sessions
6.2 Clustering
6.3 Analysis of (Weighted) User Separation
6.4 Discussion
7 Final Considerations
References
A Tag-Based Transformer Community Question Answering Learning-to-Rank Model in the Home Improvement Domain
1 Introduction
2 Related Work
3 Task Definition
4 Our Approach
4.1 Transformer Models
4.2 Input and Tag Representation
4.3 CQA Pair Matching Model
4.4 Model Optimisation
4.5 Candidate Answers Ranking
5 Dataset Building and Validation
5.1 Subjective CQA
5.2 Gold Standard Definition
6 Evaluation
6.1 Experiment Setup
6.2 Rank-Aware Evaluation Metrics
6.3 Results
7 Conclusion
References
An Autonomous Crowdsourcing System
1 Introduction
2 Related Work
3 Crowdsourcing Task
3.1 Workflow
4 Experimental Evaluation
4.1 Experimental Setup
4.2 Results
5 Conclusion
References
Machine Learning
The Effect of IoT Data Completeness and Correctness on Explainable Machine Learning Models
1 Introduction
2 Related Work
3 Method
4 Observation, Analysis and Validation
5 Conclusion
References
Analysis of Behavioral Facilitation Tweets for Large-Scale Natural Disasters Dataset Using Machine Learning
1 Introduction
2 Related Work
3 Extraction of Behavioral Facilitation Tweets
3.1 A Classifier Based on LSTM
3.2 A Classifier Based on BiLSTM
3.3 A Classifier Based on BERT
4 Experiment 1: Comparison of Models for Classification Accuracy
4.1 Data
4.2 Method
4.3 Result
5 Experiment 2: Analysis Characteristics of BF-Tweets in a Large-Scale Disaster Situation
5.1 Experimental Conditions
5.2 Results
5.3 Discussion
6 Conclusion
References
Using Cross Lingual Learning for Detecting Hate Speech in Portuguese
1 Introduction
2 Related Work
3 Methodology
4 Evaluation and Results
5 Final Remarks
References
MMEnsemble: Imbalanced Classification Framework Using Metric Learning and Multi-sampling Ratio Ensemble
1 Introduction
2 Related Work: Resampling Approaches
2.1 Oversampling
2.2 Undersampling
3 MMEnsemble
3.1 Base Ensemble Classifier - MLEnsemble
3.2 Ensemble Using Asset-Based Weighting
4 Experimental Evaluation
4.1 Settings
4.2 Results
4.3 Lessons Learned
5 Conclusion
References
Evaluate the Contribution of Multiple Participants in Federated Learning
1 Introduction
2 Method
2.1 Shapley Value for Models
2.2 Invalid Shapley Value
2.3 Method
2.4 Properties
3 Experiment
3.1 Utility Function
3.2 Noisy Labels
4 Conclusion
References
DFL-Net: Effective Object Detection via Distinguishable Feature Learning
1 Introduction
2 Related Work
3 Design of DFL-Net
3.1 High-Level Idea of DFL-Net
3.2 Full-Scale Fusion
3.3 Attention Guided Feature Refinement
4 Performance Evaluation
4.1 Settings
4.2 Results
4.3 Ablation Study
5 Conclusion and Future Work
References
Transfer Learning for Larger, Broader, and Deeper Neural-Network Quantum States
1 Introduction
2 Related Work
3 Background
3.1 Quantum Many-Body Systems
3.2 Deep Neural-Network Quantum States
4 Methodology
5 Performance Evaluation
5.1 Broader Networks
5.2 Deeper Networks
6 Conclusion
References
LGTM: A Fast and Accurate kNN Search Algorithm in High-Dimensional Spaces
1 Introduction
2 Theoretical Motivation
2.1 Preliminary
2.2 Theoretical Foundation
3 LGTM: From Theory to Practice
3.1 Pre-processing
3.2 Online (Query) Processing
4 Experiment
4.1 Comparison with AKNNG
4.2 Comparison with State-of-the-art Algorithms
5 Conclusion
References
TSX-Means: An Optimal K Search Approach for Time Series Clustering
1 Introduction
2 Notations and Definitions
3 TSX-Means: A New Method for Time Series Clustering
3.1 Principle of the Method
3.2 TSX-Means Algorithm
4 Experimental Results
5 Conclusion and Perspectives
References
A Globally Optimal Label Selection Method via Genetic Algorithm for Multi-label Classification
1 Introduction
2 Preliminaries
3 The Proposed Method
3.1 Uninformative Label Reduction via EBMD
3.2 Most Informative Label Selection via GA
3.3 Label Selection Algorithm Combining EBMD and GA
4 Experiments
4.1 Basic Experimental Settings
4.2 Experimental Results and Analysis
5 Conclusions
References
Semantic Web and Ontologies
Discovering HOI Semantics from Massive Image Data
1 Introduction
2 Relate Work
2.1 Two-Stage Methods for HOI Detection
2.2 One-Stage Methods for HOI Detection
3 Framework for HOI Detection
3.1 Architecture
3.2 Object Detection Branch
3.3 Interaction Detection Branch
3.4 Loss and Inference
4 Performance Evaluation
4.1 Experimental Setting
4.2 Implementation Details
4.3 Results and Comparison
4.4 Ablation Study
5 Conclusion
References
Fuzzy Ontology-Based Possibilistic Approach for Document Indexing Using Semantic Concept Relations
1 Introduction
2 Related Work
3 Fuzzy Ontology-Based Possibilistic Proposed Approach
4 Analysis of Experimental Results and Discussion
5 Conclusion and Prospects
References
Multi-Objective Recommendations and Promotions at TOTAL
1 Introduction
2 Data Model and Preliminaries
3 Multi-Objective Recommendations and Promotions
3.1 Budget Recommendations
3.2 Business Recommendations
3.3 Promotional Offers
4 Experiments
4.1 Experimental Protocol
4.2 Evaluation Measures
4.3 Recommendation Experiments
4.4 Promotion Experiments
5 Related Work
6 Conclusion
References
An Effective Algorithm for Classification of Text with Weak Sequential Relationships
1 Introduction
2 Related Work
3 Our Model
3.1 B-BRNN Improved by Feature Fusion
3.2 Dynamic Decision Hybrid Model
4 Experimental Evaluation
4.1 Experiment Design
4.2 Experimental Results
5 Conclusions and Future Work
References
PatRIS: Patent Ranking Inventive Solutions
1 Introduction
2 Related Work
3 Typical Patent Inventiveness Indicators
4 Patent Ranking Inventive Solutions: PatRIS -1em
5 Dataset and Experimental Settings
6 Case Study
7 Conclusion and Future Work
References
Temporal, Spatial, and High Dimensional Databases
Shared-Memory Parallel Hash-Based Stream Join in Continuous Data Streams
1 Introduction
2 Proposed Parallel Hash-Based Stream Joins
2.1 Parallel Symmetric Hash Join Algorithm
2.2 Chunk-Based Pairing Hash Join Algorithm
3 Empirical Evaluation
3.1 Scalability and Performance Evaluation
3.2 Latency Evaluation
4 Related Work and Conclusion
References
Event Related Data Collection from Microblog Streams
1 Introduction
2 Related Work
3 Methodology
4 Baseline
5 Experiments
5.1 Dataset
5.2 System Configuration
5.3 Short Term Events
5.4 Medium Term Events
5.5 Long Term Events
5.6 System Performance
5.7 Human Judgements
6 Conclusion
References
GACE: Graph-Attention-Network-Based Cardinality Estimator
1 Introduction
2 Related Work
2.1 Traditional Cardinality Estimation Methods
2.2 Learning-Based Cardinality Estimation
3 Overview
4 Encoding and Model
4.1 Encoding
4.2 Model
5 Evaluation
5.1 Experimental Setup
5.2 Dynamic Features for Query Structure
5.3 Estimation Accuracy
6 Conclusion
References
A Two-Phase Approach for Enumeration of Maximal (, )-Cliques of a Temporal Network
1 Introduction
2 Problem Definition
3 Proposed Methodology
3.1 Phase 1 (Initialization)
3.2 Phase 2 (Enumeration)
4 Experimental Results
5 Conclusion
References
Author Index

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