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Titlebook: Database Systems for Advanced Applications; 29th International C Makoto Onizuka,Jae-Gil Lee,Kejing Lu Conference proceedings 2024 The Edito

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发表于 2025-3-21 17:39:33 | 显示全部楼层 |阅读模式
书目名称Database Systems for Advanced Applications
副标题29th International C
编辑Makoto Onizuka,Jae-Gil Lee,Kejing Lu
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Database Systems for Advanced Applications; 29th International C Makoto Onizuka,Jae-Gil Lee,Kejing Lu Conference proceedings 2024 The Edito
描述.The seven-volume set LNCS 14850-14856 constitutes the proceedings of the 29th International Conference on Database Systems for Advanced Applications, DASFAA 2024, held in Gifu, Japan, in July 2024...The total of 147 full papers, along with 85 short papers, presented together in this seven-volume set was carefully reviewed and selected from 722 submissions...Additionally, 14 industrial papers, 18 demo papers and 6 tutorials are included...The conference presents papers on subjects such as:..Part I: Spatial and temporal data; database core technology; federated learning...Part II: Machine learning; text processing...Part III: Recommendation; multi-media...Part IV: Privacy and security; knowledge base and graphs...Part V: Natural language processing; large language model; time series and stream data...Part VI: Graph and network; hardware acceleration...Part VII: Emerging application; industry papers; demo papers... .
出版日期Conference proceedings 2024
关键词Data mining and knowledge discovery; Data quality and credibility; Data-driven AI technology; Informati
版次1
doihttps://doi.org/10.1007/978-981-97-5575-2
isbn_softcover978-981-97-5574-5
isbn_ebook978-981-97-5575-2Series 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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https://doi.org/10.1007/978-981-97-5575-2Data mining and knowledge discovery; Data quality and credibility; Data-driven AI technology; Informati
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Markets, Freedom and Responsibility,s. This process also needs to consider various spatiotemporal factors such as the time and location for departures or arrivals. The increasing demand of air transportation brings new technical challenges to this problem, such as large data scalability and multiple optimization objectives. Thus, in t
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Nijhoff International Philosophy Series the interactions between proteins and ligands, which, however, encounter several critical issues: 1) Assuming that ligand and protein nodes within a specific distance could form interaction pairs, neglecting their intricate spatial relationships or the limited number each node can accommodate. 2) D
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methods rely on static features such as bytecode, opcode, and control flow graph (CFG). However, these methods exhibit two shortcomings: (1) Most existing methods only utilize a single static feature, either static opcode or CFG, lacking effective feature fusion and leaving room for improvement in
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https://doi.org/10.1007/978-3-476-03974-3e novel material discovery. The chemical intuition of irregularity and contribution variability existing in substructures present challenges in modeling molecular structural information, resulting in unsatisfactory performance in molecular property prediction. In this paper, we propose Key Substruct
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,Eigenständige Werte und das gute Leben,lternately exhibit in preceding sequential events, and progress differently in next. Such intensive intent dynamics makes training models hard to capture unobserved intents, and thus leads to sub-optimal generalization performance, especially in the intertwining of numerous potential events. To capt
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