Knowledge Management and Acquisition for Intelligent Systems: 19th Principle and Practice of Data and Knowledge Acquisition Workshop, PKAW 2023, ... (Lecture Notes in Artificial Intelligence)

Preface
Organization
Contents
Predicting Peak Demand Days for Asthma-Related Emergency Hospitalisations: A Machine Learning Approach
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Data Collection from Diverse Sources
		3.2 Data Preparation
		3.3 Data Analysis and Feature Selection
		3.4 Prediction Model
	4 Results
	5 Conclusion
	References
Discovering Maximal High Utility Co-location Patterns from Spatial Data
	1 Introduction
	2 Maximal High Utility Co-location Patterns
	3 The Proposed Mining Algorithm
		3.1 Collecting Participating Instances
		3.2 Calculating Utility Participating Indexes
	4 Experimental Results
		4.1 Data Sets
		4.2 Performance on Reducing Number of HUCPs
		4.3 Performance on Different User-Specified Interesting Thresholds
		4.4 Performance on Different Distance Thresholds
		4.5 Performance on Different Numbers of Instances
	5 Conclusion
	References
Exploring the Potential of Image Overlay in Self-supervised Learning: A Study on SimSiam Networks and Strategies for Preventing Model Collapse
	1 Introduction
	2 Related Work
		2.1 Noteworthy Models
		2.2 Mitigating Dimensional Collapse
	3 Research Design
		3.1 Supervised Learning Design
		3.2 SSL Experiment Design
		3.3 Overlay and Extend Adjustments
	4 Findings and Discussions
		4.1 Supervised Benchmark
		4.2 Collapse in SimSiam
		4.3 Overlay Potential
	5 Conclusion
	References
BoCB: Performance Benchmarking by Analysing Impacts of Cloud Platforms on Consortium Blockchain
	1 Introduction
	2 Related Work
	3 Benchmarking Methodology
		3.1 Experiment Framework and Performance Modelling
		3.2 Applications and Scenarios Design
		3.3 Configuration and Workload
	4 Results and Analysis
		4.1 Horizontal Comparison
		4.2 Vertical Comparison
	5 Conclusion and Future Work
	References
Automated Cattle Behavior Classification Using Wearable Sensors and Machine Learning Approach
	1 Introduction
		1.1 Animals and Data Collection
		1.2 Dataset
		1.3 Machine Learning Algorithm and Evaluation
	2 Classification Results
	3 Conclusion
	References
LexiFusedNet: A Unified Approach for Imbalanced Short-Text Classification Using Lexicon-Based Feature Extraction, Transfer Learning and One Class Classifiers
	1 Introduction
	2 Related Work
	3 Fully Deep LexiFusedNet
		3.1 Building Supervised Pre-trained Models
		3.2 Building Self-Taught Fine-Tuned One-Class Model
	4 Experimental Setup
		4.1 Models
		4.2 Dataset
		4.3 Lexicon
		4.4 Performance Metric
	5 Result
	6 Discussion
	7 Conclusion
	References
Information Gerrymandering in Elections
	1 Introduction
	2 Related Works
	3 Preliminaries
		3.1 Information Gerrymandering from Literature
	4 Effective Influence Assortment in General Scenarios
		4.1 Influence Assortment on the Node Level
		4.2 Considering the Echo Chamber Factor for Influence Assortment on the Party Level
		4.3 Influence Gap
	5 Experiments
		5.1 The Behavioural Model
		5.2 Experiment 1: Specifying the Non-linearity Parameter h
		5.3 Experiment 2: Examine the Predictive Power of Influence Gap in Scale-Free Networks
	6 Conclusion
	References
An Assessment of the Influence of Interaction and Recommendation Approaches on the Formation of Information Filter Bubbles
	1 Introduction
	2 Related Works
	3 Preliminaries
		3.1 Formal Definitions
		3.2 HCI Approaches
		3.3 Recommendation Strategies
		3.4 Filter Bubble Measurement
	4 Experiments
		4.1 Experimental Settings
		4.2 Results and Discussion
	5 Conclusion and Future Work
	References
Blockchain as a Collaborative Technology - Case Studies in the Real Estate Sector in Vietnam
	1 Introduction
	2 Related Work
		2.1 Land Registration Systems Using Blockchain Technology
		2.2 Blockchain for Shared Ownership and Asset Management
		2.3 Blockchain Initiatives for Comprehensive Asset Registration and Management
	3 Approach
		3.1 The Traditional Model of Real Estate
	4 Evaluation
		4.1 Environment Settings
		4.2 Data Creation
		4.3 Data Query
	5 Conclusion
	References
Indonesian Forest Fire Data Clustering Using Spatiotemporal Data Using Grid Density-Based Clustering Algorithm
	1 Introduction
	2 Previous Study
	3 Spatiotemporal Clustering
	4 Data, Method, and Implementation of Imstagrid
		4.1 Data
		4.2 Method
		4.3 HDBSCAN
		4.4 Implementation IMSTAGRID Clustering Algorithm
		4.5 Hyperparameter Search
		4.6 Evaluation
	5 Results
	6 Conclusion
	References
Balanced Graph Structure Information for Brain Disease Detection
	1 Introduction
	2 Related Work
		2.1 GNNs for Brain Disease Detection
		2.2 Learnable Graph Generations
		2.3 Framework Overview
	3 Proposed Framework
		3.1 Brain Signal Preprocessing
		3.2 Graph Modeling
		3.3 Classifier
	4 Experiment
		4.1 Datasets
		4.2 Baseline Approaches and Reproducibility
		4.3 Model Selection and Experiment Setup
		4.4 RQ1. Performance Comparison
		4.5 RQ2. Ablation Studies
		4.6 RQ.3 Brain\'s Graph Structure Interpretation
	5 Conclusion
	References
Author Index