Databases Theory and Applications: 32nd Australasian Database Conference, ADC 2021, Dunedin, New Zealand, January 29 – February 5, 2021, Proceedings ... Applications, incl. Internet/Web, and HCI)

Preface
General Chair’s Welcome Message
Organization
Contents
Intention Recognition from Spatio-Temporal Representation of EEG Signals
	1 Introduction
		1.1 Motivation
		1.2 Challenges
		1.3 Solution
	2 Related Work
	3 Method
		3.1 Data Acquisition
		3.2 Image Mapping Layer
		3.3 Architecture of the Neural Network
	4 Experiments
		4.1 Datasets
		4.2 Benchmarking Methods
		4.3 Results and Discussion
	5 Conclusions
	References
Adaptive Graph Learning for Semi-supervised Classification of GCNs
	1 Introduction
	2 Related Work
		2.1 Hypergraph Theory
		2.2 The GCN Model
	3 Methodology
		3.1 Our Proposed Method
	4 Experiment
		4.1 Datasets
		4.2 Experimental Setting
		4.3 Comparison Methods
		4.4 Experimental Results
		4.5 Convergence Analysis
	5 Conclusions
	References
Semi-supervised Feature Selection Based on Cost-Sensitive and Structural Information
	1 Introduction
	2 Approach
		2.1 Notations
		2.2 Cost-Sensitive Feature Selection
		2.3 Feature Selection with Graph Structural Information
		2.4 Mathematical Formulation
		2.5 Optimization
		2.6 Convergence Analysis
	3 Experiments
		3.1 Datasets and Comparison Methods
		3.2 Experimental Settings
		3.3 Experiment Results and Analysis
		3.4 Conclusion
	References
Contextual Bandit Learning for Activity-Aware Things-of-Interest Recommendation in an Assisted Living Environment
	1 Introduction
	2 Related Work
		2.1 Recommender System for the IoT
		2.2 Contextual Bandit Approach for Recommendation
	3 Contextual-Bandit-Based Reminder Care System
		3.1 Complex Activity Detection
		3.2 Prompt Detection
		3.3 Conducting Recommendations
	4 Evaluation
		4.1 Dataset
		4.2 Features Engineering
		4.3 Experiment Results
	5 Conclusion
	References
Deep Multi-view Spatio-Temporal Network for Urban Crime Prediction
	1 Introduction
	2 Problem Formulation
	3 Data Collection and Feature Extraction
	4 Methodology
		4.1 Information Gathering
	5 Experiments
		5.1 Comparison Methods
		5.2 Hyper-parameters Tuning
		5.3 Ablation Study
	6 Conclusion and Future Work
	References
Experimental Analysis of Locality Sensitive Hashing Techniques for High-Dimensional Approximate Nearest Neighbor Searches
	1 Introduction
		1.1 Locality Sensitive Hashing
		1.2 Motivation for Using LSH
		1.3 Motivation of Our Experimental Survey
		1.4 Contributions of This Experimental Survey Paper
	2 Related Work
	3 State-of-the-Art Techniques
	4 Experimental Analysis
		4.1 Datasets
		4.2 Evaluation Criteria and Parameters
		4.3 Discussion of the Performance Results
	5 Conclusion
	References
ANSWER: Generating Information Dissemination Network on Campus
	1 Introduction
	2 Related Work
		2.1 Network Representation Learning (NRL)
		2.2 Social Relationship
		2.3 Information Dissemination Network
	3 Problem Formulation
	4 Design of ANSWER
		4.1 Construction of Friendship Network
		4.2 Processing of Node Attributes
		4.3 Attributed Network Representation Learning (ANRL)
		4.4 Link Prediction
	5 Experiments
		5.1 Dataset
		5.2 Prediction
	6 Conclusion
	References
Twitter Data Modelling and Provenance Support for Key-Value Pair Databases
	1 Introduction
	2 Related Work
	3 Proposed Provenance Framework
		3.1 Data Model Design
		3.2 Zero-Information Loss Key-Value Pair Database
		3.3 Provenance Generation Algorithms
		3.4 Querying Provenance
	4 Results and Discussions
	5 Conclusion and Future Work
	References
Analyzing Tweets to Understand Factors Affecting Opinion on Climate Change
	1 Introduction
	2 Literature Review
	3 Experimental Methods
		3.1 Data Collection
		3.2 Data Preprocessing
		3.3 Classification Models
		3.4 Topic Modeling
	4 Result and Discussion
		4.1 Opinion Shapers: Ideologies
		4.2 Opinion Shapers: Leadership
		4.3 Opinion Shapers: Media
	5 Conclusion
	References
Optimal Placement of Taxis in a City Using Dominating Set Problem
	1 Introduction
	2 Literature Review
	3 Context of the Problem
		3.1 Preliminaries
	4 Methodology
		4.1 Neighbour Search
		4.2 k-hop Dominating Set Algorithm
		4.3 Modified k-hop Dominating Set Algorithm
		4.4 Task Assignments
	5 Experiment Setup
		5.1 Size of the Dominating Set Varying k-Value
		5.2 Varying the Number of Drivers
		5.3 Varying the K-Value
		5.4 Comparison with Other Clustering Algorithms
	6 Conclusion and Future Work
	References
Adaptive Fault Diagnosis for Data Replication Systems
	1 Introduction
	2 Literature Review and Background
	3 Adaptive Fault Diagnosis (FD) Module Design
		3.1 Information Acquisition (IA) Module
		3.2 Diagnostic Reinforcement Learning (DRL) for FD Module
		3.3 System Diagnostic (SD) Module
	4 Data Replication Environment (DRE)’s State Representation
	5 DRE’s Action of Diagnostic Prediction
	6 Empirical Analysis
		6.1 The Experimental Set-Up
		6.2 True Negative Test Results
		6.3 Evaluation Criteria and Benchmarking
		6.4 Test Results
		6.5 Service Outage Classification Results
		6.6 Service Outage’s Prediction Accuracy
	7 Conclusion
	References
Entropy-Based Uncertainty Calibration for Generalized Zero-Shot Learning
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Problem Definition
		3.2 Dual Generative Model
		3.3 Triplet Regularization
		3.4 Predicting with Uncertainty Calibration
	4 Experiments
		4.1 Datasets and Compared Methods
		4.2 Evaluation Protocol
		4.3 GZSL Results
		4.4 Conventional ZSL Results
		4.5 Ablation Study
		4.6 Latent Space Distribution Analysis
	5 Conclusion
	References
A Real Time Analysis of Offensive Texts to Prevent Cyberbullying
	1 Introduction
		1.1 State-of-the-Art in Detecting Offensive Text
		1.2 Our Novel Approach and Contributions
	2 Related Work
	3 Proposed Architecture
	4 Application Development and Implementation Aspects
		4.1 Data Preprocessing
		4.2 Input Transformation
		4.3 Embedding Enrichment
		4.4 Recurrent Neural Network
		4.5 Alternative Word Suggestion
	5 Real-Time Offensive Text Detection
	6 Performance Evaluation and Results
		6.1 Dataset Used
		6.2 Experimental Setup and Results
	7 Conclusion
	References
An Experimental Study on Exact Multi-constraint Shortest Path Finding
	1 Introduction
	2 Related Work
		2.1 Skyline Path
		2.2 Single-CSP
		2.3 Multi-CSP
	3 Preliminary
		3.1 Problem Definition
		3.2 Skyline Path
	4 Multi-CSP Algorithms
		4.1 Skyline-Dijkstra\'s Multi-CSP
		4.2 Search-Based kPath Multi-CSP
		4.3 Enhanced kPath Multi-CSP
	5 Experiments
		5.1 Experimental Settings
		5.2 Query Distance
		5.3 Constraint Ratio
		5.4 Number of Constraints
		5.5 Influence of Stricter Constraints
		5.6 Constraint Correlation
	6 Conclusion
	References
The Effect of Regional Economic Clusters on Housing Price
	1 Introduction
	2 Conceptual Framework
		2.1 Feature Vector 1: Housing Attributes
		2.2 Feature Vectors 2 and 3: The Housing Location
		2.3 Feature Vector 4: Socio-demographic Attributes
	3 Experimental Settings
		3.1 Data Description
		3.2 Algorithms
	4 Results and Analysis
		4.1 Overall Performance
		4.2 The Importance of the Regional Cluster Variable
	5 Discussions and Implications
		5.1 Implications for Home Buyers
		5.2 Implications for Councils and Urban Planning
		5.3 Implications for Real-Estate Investors and Developers
	6 Related Work
	7 Conclusions and Future Work
	References
Modeling Daily Crime Events Prediction Using Seq2Seq Architecture
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Data Collection
		3.2 Data Pre-processing
		3.3 Proposed Seq2seq Model
	4 Results and Discussions
		4.1 ARIMA, Simple RNN, LSTM and Conv1D
		4.2 Prediction Performance Comparison Using Different Timesteps
		4.3 Prediction Performance Comparison with Baselines
	5 Conclusion
	References
Modelling and Factorizing Large-Scale Knowledge Graph (DBPedia) for Fine-Grained Entity Type Inference
	1 Introduction
	2 DBpedia Knowledge Graph
		2.1 Modeling DBpedia
		2.2 Factorizing DBpedia
	3 Experiments
		3.1 Evaluation and Apply on DBpedia and Freebase
	4 Related Work
	5 Conclusion
	References
Author Index