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Knowledge management and acquisition...
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Pacific Rim Knowledge Acquisition Workshop (2023 :)
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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 /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Knowledge management and acquisition for intelligent systems/ edited by Shiqing Wu ... [et al.].
Reminder of title:
19th Principle and Practice of Data and Knowledge Acquisition Workshop, PKAW 2023, Jakarta, Indonesia, November 15-16, 2023 : proceedings /
remainder title:
PKAW 2023
other author:
Wu, Shiqing.
corporate name:
Pacific Rim Knowledge Acquisition Workshop
Published:
Singapore :Springer Nature Singapore : : 2023.,
Description:
x, 146 p. :ill., digital ;24 cm.
[NT 15003449]:
Predicting Peak Demand Days for Asthma-Related Emergency Hospitalisations: A Machine Learning Approach -- Discovering Maximal High Utility Co-location Patterns from Spatial Data -- Exploring the Potential of Image Overlay in Self-Supervised Learning: A Study on SimSiam Networks and Strategies for Preventing Model Collapse -- BoCB: Performance Benchmarking by Analysing Impacts of Cloud Platforms on Consortium Blockchain -- Automated Cattle Behavior Classification Using Wearable Sensors and Machine Learning Approach -- LexiFusedNet: A Unified Approach for Imbalanced Short-text Classification using Lexicon-based Feature Extraction, Transfer Learning and One Class Classifiers -- Information Gerrymandering in Elections -- An Assessment of the Influence of Interaction and Recommendation Approaches on the Formation of Information Filter Bubbles -- Blockchain as a Collaborative Technology - Case Studies in the Real Estate Sector in Vietnam -- Indonesian Forest Fire Data Clustering using Spatiotemporal Data Using Grid Density-Based Clustering Algorithm.
Contained By:
Springer Nature eBook
Subject:
Artificial intelligence - Congresses. -
Online resource:
https://doi.org/10.1007/978-981-99-7855-7
ISBN:
9789819978557
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 /
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 /[electronic resource] :PKAW 2023edited by Shiqing Wu ... [et al.]. - Singapore :Springer Nature Singapore :2023. - x, 146 p. :ill., digital ;24 cm. - Lecture notes in computer science,143170302-9743 ;. - Lecture notes in computer science ;14317..
Predicting Peak Demand Days for Asthma-Related Emergency Hospitalisations: A Machine Learning Approach -- Discovering Maximal High Utility Co-location Patterns from Spatial Data -- Exploring the Potential of Image Overlay in Self-Supervised Learning: A Study on SimSiam Networks and Strategies for Preventing Model Collapse -- BoCB: Performance Benchmarking by Analysing Impacts of Cloud Platforms on Consortium Blockchain -- Automated Cattle Behavior Classification Using Wearable Sensors and Machine Learning Approach -- LexiFusedNet: A Unified Approach for Imbalanced Short-text Classification using Lexicon-based Feature Extraction, Transfer Learning and One Class Classifiers -- Information Gerrymandering in Elections -- An Assessment of the Influence of Interaction and Recommendation Approaches on the Formation of Information Filter Bubbles -- Blockchain as a Collaborative Technology - Case Studies in the Real Estate Sector in Vietnam -- Indonesian Forest Fire Data Clustering using Spatiotemporal Data Using Grid Density-Based Clustering Algorithm.
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.
ISBN: 9789819978557
Standard No.: 10.1007/978-981-99-7855-7doiSubjects--Topical Terms:
606815
Artificial intelligence
--Congresses.
LC Class. No.: Q334
Dewey Class. No.: 006.331
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 /
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Predicting Peak Demand Days for Asthma-Related Emergency Hospitalisations: A Machine Learning Approach -- Discovering Maximal High Utility Co-location Patterns from Spatial Data -- Exploring the Potential of Image Overlay in Self-Supervised Learning: A Study on SimSiam Networks and Strategies for Preventing Model Collapse -- BoCB: Performance Benchmarking by Analysing Impacts of Cloud Platforms on Consortium Blockchain -- Automated Cattle Behavior Classification Using Wearable Sensors and Machine Learning Approach -- LexiFusedNet: A Unified Approach for Imbalanced Short-text Classification using Lexicon-based Feature Extraction, Transfer Learning and One Class Classifiers -- Information Gerrymandering in Elections -- An Assessment of the Influence of Interaction and Recommendation Approaches on the Formation of Information Filter Bubbles -- Blockchain as a Collaborative Technology - Case Studies in the Real Estate Sector in Vietnam -- Indonesian Forest Fire Data Clustering using Spatiotemporal Data Using Grid Density-Based Clustering Algorithm.
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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.
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Computer Science (SpringerNature-11645)
based on 0 review(s)
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W9461517
電子資源
11.線上閱覽_V
電子書
EB Q334
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