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Titlebook: Database Systems for Advanced Applications; 28th International C Xin Wang,Maria Luisa Sapino,Hongzhi Yin Conference proceedings 2023 The Ed

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发表于 2025-3-21 17:06:45 | 显示全部楼层 |阅读模式
书目名称Database Systems for Advanced Applications
副标题28th International C
编辑Xin Wang,Maria Luisa Sapino,Hongzhi Yin
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Database Systems for Advanced Applications; 28th International C Xin Wang,Maria Luisa Sapino,Hongzhi Yin Conference proceedings 2023 The Ed
描述The four-volume set LNCS 13943, 13944, 13945 and 13946 constitutes the proceedings of the 28th International Conference on Database Systems for Advanced Applications, DASFAA 2023, held in April 2023 in Tianjin, China..The total of 125 full papers, along with 66 short papers, are presented together in this four-volume set was carefully reviewed and selected from 652 submissions. Additionally, 15 industrial papers, 15 demo papers and 4 PhD consortium papers are included. The conference presents papers on subjects such as model, graph, learning, performance, knowledge, time, recommendation, representation, attention, prediction, and network..
出版日期Conference proceedings 2023
关键词Query Processing; Data Management; Graph; Network; Knowledge Graph; Recommendation; Privacy computing; Text
版次1
doihttps://doi.org/10.1007/978-3-031-30637-2
isbn_softcover978-3-031-30636-5
isbn_ebook978-3-031-30637-2Series 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 Switzerl
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978-3-031-30636-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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https://doi.org/10.1007/978-3-658-05653-73rd generation Intel Xeon Scalable Processors with the 2nd generation Intel Optane PM. eADR ensures that data stored within the CPU caches will be flushed to PM upon the power failure..In the eADR platform, previous PM-based work suffered more read/write amplification and random access problems, and
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https://doi.org/10.1007/978-3-658-23067-8orithms use either heuristic or greedy strategy to perform node packing and mainly have 2 limitations: (1) They greedily optimize the short-term but not the overall tree costs. (2) They enforce full-packing of each node. These both limit the built tree structure. To address these limitations, we pro
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https://doi.org/10.1007/978-3-658-23067-8y and sell data through the data market. Meanwhile, a variety of data pricing mechanisms have been proposed. However, since most of them concentrate on relational data, little is known about graph data pricing, particularly incomplete graph data. In this paper, we mainly focus on the pricing problem
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https://doi.org/10.1007/978-3-8349-8156-1nd knowledge graphs. As a fundamental task, the label-constrained reachability (LCR) query asks whether a given vertex . can reach another vertex ., only using a restricted set of given edge labels. However, existing works build a heavy index while taking too much time for answering queries online,
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