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Oliver Kennedy 2015-09-24 15:30:13 -04:00
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(still in development)
## Surveys
* [Morgan & Claypool: Probabilistic Databases](http://www.morganclaypool.com/doi/abs/10.2200/S00362ED1V01Y201105DTM016)
## Probabilistic Database Systems
* MayBMS (Cornell)
* [MayBMS: Managing incomplete information with probabilistic world-set decompositions](http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4221832)
* [${10^{(10^{6})}}$ worlds and beyond: efficient representation and processing of incomplete information](http://dl.acm.org/citation.cfm?id=1644253)
* [MayBMS: a probabilistic database management system](http://dl.acm.org/citation.cfm?id=1559984)
* A Compositional Query Algebra for Second-Order Logic and Uncertain Databases
* On Query Algebras for Probabilistic Databases
* On APIs for Probabilistic Databases
* From Complete to Incomplete Information and Back
* DEMO: [Query language support for incomplete information in the MayBMS system](http://dl.acm.org/citation.cfm?id=1326031)
* BOOK CHAPTER: [MayBMS: A system for managing large uncertain and probabilistic databases](http://link.springer.com/content/pdf/10.1007/978-0-387-09690-2.pdf#page=166)
* MANUAL: [MayBMS: A Probabilistic Database System.](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.147.1226&rep=rep1&type=pdf)
* Pip (Cornell)
* [PIP: A database system for great and small expectations](http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5447879)
* MystiQ (UWash)
*
* Orion (UMD)
* Trio (Stanford)
* Sprout (Oxford)
* Approximate Confidence Computation in Probabilistic Databases
* SPROUT: Lazy vs. Eager Query Plans for Tuple-Independent Probabilistic Databases
* A dichotomy for non-repeating queries with negation in probabilistic databases
* Anytime Approximation in Probabilistic Databases
* Aggregates in Probabilistic Databases via Knowledge Compilation
* Ranking in Probabilistic Databases: Complexity and Efficient Algorithms
* Orchestra (UPenn)
* Mimir (UBuff)
* [On-Demand Query Result Cleaning](http://www.vldb.org/2014/phd_workshop.proceedings_files/Camera-Ready%20Papers/Paper%201283/p1283-Yang.pdf)
* [Detecting the Temporal Context of Queries](http://link.springer.com/chapter/10.1007/978-3-662-46839-5_7)
* [Lenses: an on-demand approach to ETL](http://dl.acm.org/citation.cfm?id=2824055)
* Jigsaw (Cornell/Microsoft)
* [Jigsaw: Efficient optimization over uncertain enterprise data](http://dl.acm.org/citation.cfm?id=1989410)
* DEMO: [Fuzzy prophet: parameter exploration in uncertain enterprise scenarios](http://dl.acm.org/citation.cfm?id=1989482)
## Model Database Systems
* BayesStore
* MauveDB
* Velox