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ORCIDSIGMOD Record, Volume 53
Volume 53, Number 1, March 2024
- Graham Cormode
:
Technical Perspective on 'Better Differentially Private Approximate Histograms and Heavy Hitters using the Misra-Gries Sketch'. 6 - Christian Janos Lebeda, Jakub Tetek:
Better Differentially Private Approximate Histograms and Heavy Hitters using the Misra-Gries Sketch. 7-14 - Alan D. Fekete:
Technical Perspective: Allocating Isolation Levels to Transactions in a Multiversion Setting. 15 - Brecht Vandevoort, Bas Ketsman, Frank Neven:
Allocating Isolation Levels to Transactions in a Multiversion Setting. 16-23 - Thomas Neumann:
Technical Perspective: From Binary Join to Free Join. 24 - Yisu Remy Wang, Max Willsey, Dan Suciu:
From Binary Join to Free Join. 25-31 - Thomas Neumann:
Technical Perspective: Efficient and Reusable Lazy Sampling. 32 - Viktor Sanca, Periklis Chrysogelos, Anastasia Ailamaki:
Efficient and Reusable Lazy Sampling. 33-42 - AnHai Doan:
Technical Perspective: Unicorn: A Unified Multi-Tasking Matching Model. 43 - Ju Fan, Jianhong Tu, Guoliang Li, Peng Wang, Xiaoyong Du, Xiaofeng Jia, Song Gao, Nan Tang:
Unicorn: A Unified Multi-Tasking Matching Model. 44-53 - Elena Ferrari:
Technical Perspective: Graph Theory for Data Privacy: A New Approach for Complex Data Flows. 54 - Dorota Filipczuk, Enrico H. Gerding, George Konstantinidis:
Graph Theory for Consent Management: A New Approach for Complex Data Flows. 55-63 - Xi He:
Technical Perspective: Synthetic Data Needs a Reproducibility Benchmark. 64 - Lucas Rosenblatt, Bernease Herman, Anastasia Holovenko, Wonkwon Lee, Joshua R. Loftus, Elizabeth McKinnie, Taras Rumezhak, Andrii Stadnik, Bill Howe, Julia Stoyanovich:
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy. 65-74 - Joseph M. Hellerstein:
Learning to Restructure Tables Automatically. 75 - Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri:
Auto-Tables: Relationalize Tables without Using Examples. 76-85 - Dan Olteanu:
Technical Perspective: A Fresh Look at Stream Computation through DSP Glasses. 86 - Mihai Budiu, Tej Chajed, Frank McSherry, Leonid Ryzhyk, Val Tannen:
DBSP: Incremental Computation on Streams and Its Applications to Databases. 87-95
Volume 53, Number 2, June 2024
- Antoine Amarilli, Florent Capelli:
Tractable Circuits in Database Theory. 6-20
- Michael Stonebraker, Andrew Pavlo:
What Goes Around Comes Around... And Around... 21-37
- Aarati Kakaraparthy, Jignesh M. Patel:
Fine-Grained Hardware Profiling - Are You Using the Right Tools? 38-43
- Pinar Tözün:
Reminiscences on Influential Papers. 44-47
- Angela Bonifati:
The Long and Winding Road to Mid-Career Academia. 48-51
- Hui Li:
Technology-Enabled Database Education: Challenges andOpportunities. 52-53
- Nikos Bikakis, George Papastefanatos, Panos K. Chrysanthis, Olga Papemmanuil, David Auber, Steffen Frey, Issei Fujishiro, Hanna Hauptmann, Shixia Liu, Kwan-Liu Ma, Tobias Schreck, Michael Sedlmair, Mohamed A. Sharaf:
Visualizing, Exploring and Analyzing Big Data: A 6-Year Story. 54-57 - Haridimos Kondylakis, Kostas Stefanidis, Praveen Rao:
Report on the Fifth International Workshop on Health Data Management in the Era of AI (HeDAI 2023). 58-62 - Sihem Amer-Yahia, Divyakant Agrawal, Yael Amsterdamer, Sourav S. Bhowmick, Renata Borovica-Gajic, Jesús Camacho-Rodríguez, Jinli Cao, Barbara Catania, Panos K. Chrysanthis, Carlo Curino, Amr El Abbadi, Avrilia Floratou, Juliana Freire, Stratos Idreos, Vana Kalogeraki, Sujaya Maiyya, Alexandra Meliou, Madhulika Mohanty, Fatma Özcan, Liat Peterfreund, Soror Sahri, Sana Sellami, Roee Shraga, Utku Sirin, Wang-Chiew Tan, Bhavani Thuraisingham, Yuanyuan Tian, Genoveva Vargas-Solar, Meihui Zhang, Wenjie Zhang:
Diversity, Equity and Inclusion Activities in Database Conferences: A 2023 Report. 63-67
- Sourav S. Bhowmick, Katja Hose:
Data-driven PC-chair-in-the-loop Formation of Program Committees: An EDBT 2023 Experience. 68-74
Volume 53, Number 3, September 2024
- Nikolaos Tziavelis, Wolfgang Gatterbauer, Mirek Riedewald:
Ranked Enumeration for Database Queries. 6-19
- Goetz Graefe:
Reminiscences on Influential Papers. 27-31
- Sayan Ranu:
The Road to Explainable Graph Neural Networks. 32-34
- Daphne Miedema, Efthimia Aivaloglou, Sihem Amer-Yahia, George Fletcher, Michael Mior, Toni Taipalus:
Report on the Second International Workshop on DataSystems Education (DataEd '23). 35-39
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