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Titlebook: Knowledge Management and Acquisition for Intelligent Systems; 19th Principle and P Shiqing Wu,Wenli Yang,Guandong Xu Conference proceedings

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发表于 2025-3-21 17:31:13 | 显示全部楼层 |阅读模式
书目名称Knowledge Management and Acquisition for Intelligent Systems
副标题19th Principle and P
编辑Shiqing Wu,Wenli Yang,Guandong Xu
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Knowledge Management and Acquisition for Intelligent Systems; 19th Principle and P Shiqing Wu,Wenli Yang,Guandong Xu Conference proceedings
描述.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..
出版日期Conference proceedings 2023
关键词artificial intelligence; computer science; information retrieval; natural language processing; neural ne
版次1
doihttps://doi.org/10.1007/978-981-99-7855-7
isbn_softcover978-981-99-7854-0
isbn_ebook978-981-99-7855-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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发表于 2025-3-22 00:04:58 | 显示全部楼层
Conference proceedings 2023full 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..
发表于 2025-3-22 03:48:03 | 显示全部楼层
0302-9743 .. .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..978-981-99-7854-0978-981-99-7855-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
发表于 2025-3-22 04:45:07 | 显示全部楼层
Indonesian Forest Fire Data Clustering Using Spatiotemporal Data Using Grid Density-Based Clusterinme. Grouping closest points into one cluster is the first step to map the data using IMSTAGRID algorithm. This algorithm is the adaptation of the grid density clustering method implemented for spatiotemporal data which provides a good clustering result with Silhouette values up to 0.8175.
发表于 2025-3-22 11:38:24 | 显示全部楼层
0302-9743 ld 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
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,An Assessment of the Influence of Interaction and Recommendation Approaches on the Formation of Infatching, are implemented and evaluated. The experimental results reveal that although all three HCI approaches exacerbate the filter bubble effect, a strategically designed combination of certain recommendation algorithms and HCI approaches has the potential to promote a more diverse and balanced online information environment.
发表于 2025-3-23 05:06:02 | 显示全部楼层
,Predicting Peak Demand Days for Asthma-Related Emergency Hospitalisations: A Machine Learning Approther or disease outbreaks like COVID-19. The PPD algorithm employed in this model effectively forecasts asthma-related hospitalisations. Meteorological factors, air quality data, and Google trends constitute the sources utilised in building the model. Comparative analysis was conducted using various
发表于 2025-3-23 08:51:35 | 显示全部楼层
,Discovering Maximal High Utility Co-location Patterns from Spatial Data,te search space is not available in HUCP mining. Unnecessary candidates cannot be effectively pruned in advance. Thus, a new mining algorithm, which can effectively overcome the above problem, is proposed in this work. The algorithm first enumerates all maximal cliques of the input data set. Then it
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