Knowledge management and acquisition...
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
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