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Knowledge Management and Acquisition for Intelligent Systems: Lecture Notes in Computer Science, cartea 14317

Editat de Shiqing Wu, Wenli Yang, Muhammad Bilal Amin, Byeong-Ho Kang, Guandong Xu
en Limba Engleză Paperback – 4 noi 2023
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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Specificații

ISBN-13: 9789819978540
ISBN-10: 9819978548
Pagini: 156
Ilustrații: X, 146 p. 52 illus., 50 illus. in color.
Dimensiuni: 155 x 235 x 9 mm
Greutate: 0.25 kg
Ediția:1st edition 2023
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Singapore, Singapore

Cuprins

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 EstateSector in Vietnam.- Indonesian Forest Fire Data Clustering using Spatiotemporal Data Using Grid Density-Based Clustering Algorithm.