Knowledge management and acquisition for intelligent systems 19th Principle and Practice of Data and Knowledge Acquisition Workshop, PKAW 2023, Jakarta, Indonesia, November 15-16, 2023, Proceedings /

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 ful...

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Bibliographic Details
Corporate Authors: Pacific Rim Knowledge Acquisition Workshop Jakarta, Indonesia, SpringerLink (Online service)
Other Authors: Wu, Shiqing, Yang, Wenli, Amin, Muhammad Bilal, Kang, Byeong-Ho, Xu, Guandong
Format: Conference Proceeding eBook
Language:English
Published: Singapore : Springer, 2023.
Singapore : 2023.
Series:Lecture notes in computer science. Lecture notes in artificial intelligence.
Lecture notes in computer science ; 14317.
LNCS sublibrary. Artificial intelligence.
Physical Description:
1 online resource (156 pages).
Subjects:
Artificial intelligence -- Congresses.
Data mining -- Congresses.
Knowledge management -- Congresses.
Online Access:SpringerLink - Click here for access

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245 1 0 |a Knowledge management and acquisition for intelligent systems :  |b 19th Principle and Practice of Data and Knowledge Acquisition Workshop, PKAW 2023, Jakarta, Indonesia, November 15-16, 2023, Proceedings /  |c Shiqing Wu, Wenli Yang, Muhammad Bilal Amin, Byeong-Ho Kang, Guandong Xu, editors. 
246 3 |a PKAW 2023. 
260 |a Singapore :  |b Springer,  |c 2023. 
264 1 |a Singapore :  |b Springer,  |c 2023. 
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490 1 |a Lecture Notes in Computer Science ;  |v 14317. 
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505 0 |a 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. 
505 8 |a 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. 
505 8 |a 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. 
505 8 |a 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. 
505 8 |a 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. 
500 |a 4.3 Influence Gap. 
500 |a Includes author index. 
520 |a 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. 
588 0 |a Online resource; title from PDF title page (SpringerLink, viewed November 13, 2023). 
650 0 |a Artificial intelligence  |v Congresses.  |0 https://id.loc.gov/authorities/subjects/sh2007101476. 
650 0 |a Data mining  |v Congresses.  |0 https://id.loc.gov/authorities/subjects/sh2008102035. 
650 0 |a Knowledge management  |v Congresses.  |0 https://id.loc.gov/authorities/subjects/sh2008106316. 
650 6 |a Intelligence artificielle  |v Congrès. 
650 6 |a Exploration de données (Informatique)  |v Congrès. 
650 6 |a Gestion des connaissances  |v Congrès. 
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700 1 |a Wu, Shiqing.  |0 https://id.loc.gov/authorities/names/nr2001033685. 
700 1 |a Yang, Wenli. 
700 1 |a Amin, Muhammad Bilal. 
700 1 |a Kang, Byeong-Ho.  |0 https://id.loc.gov/authorities/names/nb2007000086. 
700 1 |a Xu, Guandong.  |0 https://id.loc.gov/authorities/names/no2011028923. 
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