Beta Probabilistic Databases: A Scalable Approach to Belief Updating and Parameter Learning
Summary: Beta Probabilistic Databases (B-PDBs) model each tuple probability as a Beta latent variable, enabling principled belief updates from noisy, indirect evidence. Remains TI-PDB-compatible, enabling scalable Bayesian updates and soft-EM learning in-database. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Niccolò Meneghetti (Hewlett Packard Enterprise)
- 2. Oliver Kennedy (State University of New York at Buffalo)
- 3. Wolfgang Gatterbauer (Carnegie Mellon University)
BibTeX Citation
@inproceedings{meneghetti_sigmod17,
title = {{Beta Probabilistic Databases: A Scalable Approach to Belief Updating and Parameter Learning}},
author = {Meneghetti, Niccolò and Kennedy, Oliver and Gatterbauer, Wolfgang},
series = {{SIGMOD} '17},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3035918.3064026},
url = {https://dl.acm.org/doi/10.1145/3035918.3064026},
year = {2017}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,515 | CYADB: A Database that Covers Your Ask | 2018 | VLDB | 5.6029996e-05 |
| 11,189 | StarfishDB: a Query Execution Engine for Relational Probabilistic Programming | 2024 | SIGMOD | 5.093636e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 17 of 17 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 1,594 | Sensitivity Analysis and Explanations for Robust Query Evaluation in Probabilistic Databases | 2011 | SIGMOD |
| 2 | 11,597 | ActivePDB: Active Probabilistic Databases | 2022 | VLDB |
| 3 | 3,698 | Optimizing MPF Queries: Decision Support and Probabilistic Inference | 2007 | SIGMOD |
| 4 | 6,741 | Probabilistic Databases for All | 2020 | PODS |
| 5 | 4,556 | A Temporal-Probabilistic Database Model for Information Extraction | 2013 | VLDB |
| 6 | 2,990 | Knowledge Expansion over Probabilistic Knowledge Bases | 2014 | SIGMOD |
| 7 | 4,301 | Read-Once Functions and Query Evaluation in Probabilistic Databases | 2010 | VLDB |
| 8 | 820 | BayesStore: Managing Large, Uncertain Data Repositories with Probabilistic Graphical Models | 2008 | VLDB |
| 9 | 1,986 | Scalable Probabilistic Databases with Factor Graphs and MCMC | 2010 | VLDB |
| 10 | 8,476 | Anytime Approximation in Probabilistic Databases via Scaled Dissociations | 2019 | SIGMOD |