Works matching IS 10668888 AND DT 2025 AND VI 34 AND IP 2
Results: 10
C5: cloned concurrency control that always keeps up: C5: cloned concurrency control that always keeps up: J. Helt et al.
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- VLDB Journal International Journal on Very Large Data Bases, 2025, v. 34, n. 2, p. 1, doi. 10.1007/s00778-025-00901-3
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Third and Boyce–Codd normal form for property graphs: Foundations, Achievements, and Normalization: Third and Boyce–Codd Normal Form for Property Graphs: P. Skavantzos, S. Link.
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- VLDB Journal International Journal on Very Large Data Bases, 2025, v. 34, n. 2, p. 1, doi. 10.1007/s00778-025-00902-2
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Generating highly customizable python code for data processing with large language models: Generating Highly Customizable Python Code for Data Processing...: I. Trummer.
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- VLDB Journal International Journal on Very Large Data Bases, 2025, v. 34, n. 2, p. 1, doi. 10.1007/s00778-025-00900-4
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From Sancus to Sancusq: staleness and quantization-aware full-graph decentralized training in graph neural networks: From Sancus to Sancusq : staleness and...: J. Peng et al.
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- VLDB Journal International Journal on Very Large Data Bases, 2025, v. 34, n. 2, p. 1, doi. 10.1007/s00778-024-00897-2
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Hu-Fu: efficient and secure spatial queries over data federation: Hu-Fu: efficient and secure spatial queries over data...: Y. Tong, Y. Zeng, Y. Song, et al.
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- VLDB Journal International Journal on Very Large Data Bases, 2025, v. 34, n. 2, p. 1, doi. 10.1007/s00778-024-00896-3
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Differentially private explanations for aggregate query answers.
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- VLDB Journal International Journal on Very Large Data Bases, 2025, v. 34, n. 2, p. 1, doi. 10.1007/s00778-024-00895-4
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Optimizing navigational graph queries.
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- VLDB Journal International Journal on Very Large Data Bases, 2025, v. 34, n. 2, p. 1, doi. 10.1007/s00778-024-00892-7
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HeteroStamp: leveraging heterogeneous social interactions for mobility prediction-enhanced cost-aware spatiotemporal crowdsensing.
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- VLDB Journal International Journal on Very Large Data Bases, 2025, v. 34, n. 2, p. 1, doi. 10.1007/s00778-024-00891-8
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How good are multi-dimensional learned indexes? An experimental survey.
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- VLDB Journal International Journal on Very Large Data Bases, 2025, v. 34, n. 2, p. 1, doi. 10.1007/s00778-024-00893-6
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Estimating simplet counts via sampling: Estimating simplet counts...: H. Kim et al.
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- VLDB Journal International Journal on Very Large Data Bases, 2025, v. 34, n. 2, p. 1, doi. 10.1007/s00778-024-00890-9
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