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Titlebook: Intelligent Information and Database Systems; 15th Asian Conferenc Ngoc Thanh Nguyen,Siridech Boonsang,Ali Selamat Conference proceedings 2

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發(fā)表于 2025-3-21 19:51:12 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Intelligent Information and Database Systems
副標題15th Asian Conferenc
編輯Ngoc Thanh Nguyen,Siridech Boonsang,Ali Selamat
視頻videohttp://file.papertrans.cn/470/469763/469763.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Intelligent Information and Database Systems; 15th Asian Conferenc Ngoc Thanh Nguyen,Siridech Boonsang,Ali Selamat Conference proceedings 2
描述.This two-volume set LNAI 13995 and LNAI 13996 constitutes the refereed proceedings of the 15th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2023, held in Phuket, Thailand, during July 24–26, 2023..The 65 full papers presented in these proceedings were carefully reviewed and selected from 224 submissions. The papers of the 2 volume-set are organized in the following topical sections:?Case-Based Reasoning and Machine Comprehension;?Computer Vision;?Data Mining and Machine Learning;?Knowledge Integration and Analysis;?Speech and Text Processing; and Resource Management and Optimization..
出版日期Conference proceedings 2023
關(guān)鍵詞Knowledge representation and reasoning; Natural language processing; Information retrieval; Document ma
版次1
doihttps://doi.org/10.1007/978-981-99-5834-4
isbn_softcover978-981-99-5833-7
isbn_ebook978-981-99-5834-4Series 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

書目名稱Intelligent Information and Database Systems影響因子(影響力)




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發(fā)表于 2025-3-21 23:47:11 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/469763.jpg
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發(fā)表于 2025-3-22 02:32:00 | 只看該作者
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發(fā)表于 2025-3-22 09:29:29 | 只看該作者
Exploring Incompleteness in?Case-Based Reasoning: A Strategy for?Overcoming Challengeng paradigm was performed. We introduce an algorithm to check the completeness of data according to the open-world assumption leading to improving the performance of the reasoning process of the case-based reasoning approach.
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發(fā)表于 2025-3-22 13:14:43 | 只看該作者
Leveraging both?Successes and?Failures in?Case-Based Reasoning for?Optimal Solutionsproved barycentric approach by considering the failed cases. The experiment performed on real data demonstrates the benefit of the method considering the failed cases in the adaptation process compared to the classical ones that ignore them, thus, improving the performance of the case-based reasoning system.
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發(fā)表于 2025-3-22 19:44:17 | 只看該作者
Faster Imputation Using Singular Value Decomposition for?Sparse Datation tasks that involve sparse data. The experimental results show that the proposed SVDI method improves the speed and accuracy of the imputation process when compared to the PCAI method. We aim to publish our codes related to the SVDI later for the relevant research community.
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發(fā)表于 2025-3-23 01:54:44 | 只看該作者
Intelligent Retrieval System on?Legal Informationts, and their impact on legal research. The experimental results show that the proposed method is emerging to apply for analysis queries of practical law cases and extract suitable information from legal documents. It also discusses the challenges associated with law retrieval systems and explores future research directions to improve them.
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發(fā)表于 2025-3-23 07:07:12 | 只看該作者
Conference proceedings 2023and selected from 224 submissions. The papers of the 2 volume-set are organized in the following topical sections:?Case-Based Reasoning and Machine Comprehension;?Computer Vision;?Data Mining and Machine Learning;?Knowledge Integration and Analysis;?Speech and Text Processing; and Resource Management and Optimization..
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