Probabilistic Databases

By D. Suciu. Encyclopedia of Database Systems, 2009

451 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Management Science and Operations Research, Signal Processing

View Paper: https://www.semanticscholar.org/paper/c77356c57b88b165e0a66965a9b60d782b8056c9

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In Computer Networks and Communications

In Management Science and Operations Research

In Signal Processing

Citations in the corpus

The Missing Piece in Complex Analytics: Low Latency, Scalable Model Management and Serving with Velox (2014, background): “A large body of work studies probabilistic databases, which provide first-class support for complex statistical models but, in turn, focus on modeling uncertainty in data [18, 19].”
Building a Large-scale Multimodal Knowledge Base for Visual Question Answering (2015, methodology): “One solution is to reformulate the questions in a formal language [1], such as a probabilistic query language based on conjunctive queries [32].”
Unifying logic and probability (2015, unknown): “Within the subfield of probabilistic databases one also finds logical sentences labeled with probabilities [6]—but in this case probabilities are attached directly to the tuples of the database.”
Incremental Knowledge Base Construction Using DeepDive (2015, background): “This framework is able to compactly specify much more sophisticated distributions than traditional probabilistic databases [37].”
Probabilistic Inference in Hybrid Domains by Weighted Model Integration (2015, methodology): “, 2013], and probabilistic databases [Suciu et al., 2011] reduce their inference problem to a WMC computation.”
Uniform Coherence (2016, background): “, infinitary logic [14], databases with uncertain data [15], and higher-order logic [9].”
Building a Large-scale Multimodal Knowledge Base System for Answering Visual Queries (2015, background): “One solution is to reformulate the questions in a formal language [2], such as a probabilistic query language based on conjunctive queries [43].”
TensorLog: Deep Learning Meets Probabilistic DBs (2017, methodology): “…& Raedt, 2016) is one well-known logic programming language which adopts this semantics, and there is a large literature (for surveys, see (Suciu et al., 2011; De Raedt & Kersting, 2008)) on approaches to more tractibly estimating Eq 5, which naively requires marginalizing over all 2 |DB|…”
Probabilistic programming (2014, background): “A probabilistic database [55] is a relational database in which the tuples stored have associated uncertainties.”
Hashing-Based Approximate Probabilistic Inference in Hybrid Domains (2015, background): “…algorithms for Bayesian networks (Chavira and Darwiche, 2008), their relational extensions (Chavira et al., 2006), factor graphs (Choi et al., 2013), probabilistic programs (Fierens et al., 2013), and probabilistic databases (Suciu et al., 2011) reduce their inference problem to a WMC computation.”