PVLDB @pvldb
The Proceedings of the VLDB Endowment (PVLDB) RSS Feed: https://t.co/5wEKOfq2OD Bluesky: https://t.co/jULSIiQ5M3 vldb.org/pvldb/ Joined March 2017-
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Vol:18 No:12 → TCO2: Analyzing the Carbon Footprint of Database Server Replacements vldb.org/pvldb/vol18/p5…
Vol:18 No:12 → FDepHunter: Harnessing Negative Examples to Expose Fakes and Reveal Ghosts vldb.org/pvldb/vol18/p5…
Vol:18 No:12 → VIDEX: A Disaggregated and Extensible Virtual Index for Cloud-Native and AI-Driven Databases vldb.org/pvldb/vol18/p5…
Vol:18 No:12 → DVote: Constraining Committee Voting with Database Dependencies vldb.org/pvldb/vol18/p5…
Vol:18 No:12 → Graph Compression for Interpretable Graph Neural Network Inference At Scale vldb.org/pvldb/vol18/p5…
Vol:18 No:12 → Query running too slow? Rewrite it with Quorion! vldb.org/pvldb/vol18/p5…
Vol:18 No:12 → Demonstration of ModelarDB: Model-Based Management of High-Frequency Time Series Across Edge, Cloud, and Client vldb.org/pvldb/vol18/p5…
Vol:18 No:12 → Democratize MATCH_RECOGNIZE! vldb.org/pvldb/vol18/p5…
Vol:18 No:12 → Opening The Black-Box: Explaining Learned Cost Models For Databases vldb.org/pvldb/vol18/p5…
Vol:18 No:12 → Horizon: Robust Checks for SQL Migration Using LLMs vldb.org/pvldb/vol18/p5…
Vol:18 No:12 → A Demonstration of QueryArtisan: Real-Time Data Lake Analysis via Dynamically Generated Data Manipulation Code vldb.org/pvldb/vol18/p5…
Vol:18 No:12 → RecForUS: A Recommender System for Uncertain Scores vldb.org/pvldb/vol18/p5…
Vol:18 No:12 → PrivEval: a tool for interactive evaluation of privacy metrics in synthetic data generation vldb.org/pvldb/vol18/p5…
Vol:18 No:12 → Styx in Action: Transactional Cloud Applications Made Easy vldb.org/pvldb/vol18/p5…
Vol:18 No:12 → Can Surrogate Keys Negatively Impact Data Quality? vldb.org/pvldb/vol18/p5…
Vol:18 No:12 → JUSTINE (JUST-INsert Engine): Demonstrating Self-organizing Data Schemas vldb.org/pvldb/vol18/p5…
Vol:18 No:12 → Unify: A System For Unstructured Data Analytics vldb.org/pvldb/vol18/p5…
Vol:18 No:12 → UmbraPerf - Profiling Results Tailored for DBMS Developers vldb.org/pvldb/vol18/p5…
Vol:18 No:12 → Smart SPARQL Advisor: Guiding Users in Query Formulation with Performance Prediction vldb.org/pvldb/vol18/p5…
Vol:18 No:12 → Analytics Are Heavy. The DBMS Is Busy. When Will My Mission-Critical Transaction Start Running? vldb.org/pvldb/vol18/p5…
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VLDB 2021 @vldb2021
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VLDB2017 @vldb2017
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VLDB2013 @VLDB2013
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