Intro
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