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

✍ Scribed by Shiqing Wu (editor), Wenli Yang (editor), Muhammad Bilal Amin (editor), Byeong-Ho Kang (editor), Guandong Xu (editor)

• Publisher: Springer
• Year: 2023
• Tongue: English
• Leaves: 156
• Category: Library

✦ Synopsis

This book constitutes the refereed proceedings of the 19th Principle and Practice of Data and Knowledge Acquisition Workshop, PKAW 2023, held in conjunction with the 20th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2023), in November 2023, in Jakarta, Indonesia.

The 9 full papers and 2 short papers included in this volume were carefully reviewed and selected from 28 initial submissions. They are organized in the topical section such as machine learning, natural language processing, and intelligent systems.

✦ Table of Contents

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