R�, Christopher - Department of Computer Sciences, University of Wisconsin at Madison

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R�, Christopher - Department of Computer Sciences, University of Wisconsin at Madison

Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS
DataStreamManagement 30 Published by the IEEE Computer Society 1089-7801/08/$25.00 2008 IEEE IEEE INTERNET COMPUTING
Automatic Optimization for MapReduce Programs Eaman Jahani
Managing Probabilistic Data with MystiQ: The Can-Do, the Could-Do, and the Can't-Do
Approximate Lineage for Probabilistic Databases Christopher Re
Probabilistic Management of OCR Data using an RDBMS University of Wisconsin-Madison
Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS
Efficient Top-k Query Evaluation on Probabilistic Data Extended Version
General Database Statistics Using Entropy Maximization
Query Containment of Tier-2 Queries over a Probabilistic Database
Access Methods for Markovian Streams Julie Letchner #1
Lahar Demonstration: Warehousing Markovian Streams
Management of Data with Uncertainties Christopher Re
XQuery!: An XML query language with side effects Giorgio Ghelli1
A Complete and Efficient Algebraic Compiler for XQuery Christopher Re
Understanding Cardinality Estimation using Entropy Maximization
Probabilistic Databases: Diamonds in the Dirt (Extended Version)
Efficient Top-k Query Evaluation on Probabilistic Data Christopher Re Nilesh Dalvi Dan Suciu
Efficient Evaluation of HAVING Queries on a Probabilistic Database
Distributed XQuery Christopher Re
Approximate Lineage for Probabilistic Databases University of Washington Technical Report
Materialized Views in Probabilistic Databases For Information Exchange and Query Optimization
Transducing Markov Sequences Extended Abstract
Efficient Evaluation of HAVING Queries on a Probabilistic Database
Large-Scale Deduplication with Constraints using Arvind Arasu #1
VLDBJ manuscript No. (will be inserted by the editor)
Managing Large-scale Probabilistic Databases Christopher Re
Optimizing Statistical Information Extraction Programs Over Evolving Text
Optimizing Statistical Information Extraction Programs Over Evolving Text
Probabilistic Management of OCR Data using an RDBMS University of Wisconsin-Madison
Understanding Cardinality Estimation using Entropy Maximization CHRISTOPHER R E, University of WisconsinMadison