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Titlebook: Database Systems for Advanced Applications. DASFAA 2023 International Workshops; BDMS 2023, BDQM 2023 Amr El Abbadi,Gillian Dobbie,Hongzhi

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发表于 2025-3-21 19:25:40 | 显示全部楼层 |阅读模式
书目名称Database Systems for Advanced Applications. DASFAA 2023 International Workshops
副标题BDMS 2023, BDQM 2023
编辑Amr El Abbadi,Gillian Dobbie,Hongzhi Yin
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Database Systems for Advanced Applications. DASFAA 2023 International Workshops; BDMS 2023, BDQM 2023 Amr El Abbadi,Gillian Dobbie,Hongzhi
描述This volume constitutes the papers of several workshops which were held in conjunction with the 28th International Conference on Database Systems for Advanced Applications, DASFAA 2023, held in Tanjin, China, in April 2023.. The 23 revised full papers presented in this book were carefully reviewed and selected from 40 submissions. DASFAA 2023 presents the following four workshops:. 9th International Workshop on Big Data Management and Service (BDMS 2023), 8th International Workshop on Big Data Quality Management (BDQM 2023); 7th International Workshop on Graph Data Management and Analysis (GDMA 2023); 1st International Workshop on Bundle-based Recommendation Systems (BundleRS 2023)..
出版日期Conference proceedings 2023
关键词artificial intelligence; computer hardware; computer networks; computer science; computer security; compu
版次1
doihttps://doi.org/10.1007/978-3-031-35415-1
isbn_softcover978-3-031-35414-4
isbn_ebook978-3-031-35415-1Series 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 Switzerl
The information of publication is updating

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978-3-031-35414-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Contemporary Topics in Medium Energy Physicsdevices is helpful for users to understand search results from IoT search engines. However, it has yet to be available, and difficult to obtain a good text description of the devices because of lacking quality data for this task. Also, the content is hidden in multiple attributes of the devices, and
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Changing Concepts of Clustering in Ionomersterested places based on their locations and individual preferences. Existing studies on spatial keyword queries focus on finding either single spatio-textual objects or top-k groups of spatio-textual objects, however few can directly solve the problem of spatio-textual group skyline queries. In thi
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Gel Entrapped Multistep Systemsnce of safety constraints may lead to collisions in the real world, especially in a complex environment. In this paper, we tackle this problem with a novel trajectory prediction algorithm called Efficient Graph Learning (EGL), which utilizes road network information, self-attention mechanism, and sa
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Hermann Locarek-Junge,Stefan Albersill two significant challenges. First, the model requires to be fine-tuned regularly with the increasing number of patients; Secondly, the quality of text generation needs to be improved because medical observations are complex. In order to solve above challenges, we propose Memory Enhanced Pretrain
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