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SIGMOD
2008
ACM
169views Database» more  SIGMOD 2008»
14 years 7 months ago
MCDB: a monte carlo approach to managing uncertain data
To deal with data uncertainty, existing probabilistic database systems augment tuples with attribute-level or tuple-level probability values, which are loaded into the database al...
Ravi Jampani, Fei Xu, Mingxi Wu, Luis Leopoldo Per...
ICDE
2010
IEEE
204views Database» more  ICDE 2010»
14 years 2 months ago
ProbClean: A probabilistic duplicate detection system
— One of the most prominent data quality problems is the existence of duplicate records. Current data cleaning systems usually produce one clean instance (repair) of the input da...
George Beskales, Mohamed A. Soliman, Ihab F. Ilyas...
ICDE
2009
IEEE
170views Database» more  ICDE 2009»
14 years 9 months ago
Semantics of Ranking Queries for Probabilistic Data and Expected Ranks
Abstract-- When dealing with massive quantities of data, topk queries are a powerful technique for returning only the k most relevant tuples for inspection, based on a scoring func...
Graham Cormode, Feifei Li, Ke Yi
ICDE
1999
IEEE
106views Database» more  ICDE 1999»
14 years 8 months ago
Processing Operations with Restrictions in RDBMS without External Sorting: The Tetris Algorithm
Most operations of the relational algebra or SQL require a sorted stream of tuples for efficient processing. Therefore, processing complex relational queries relies on efficient a...
Volker Markl, Martin Zirkel, Rudolf Bayer
EDBT
2010
ACM
164views Database» more  EDBT 2010»
13 years 10 months ago
Techniques for efficiently querying scientific workflow provenance graphs
A key advantage of scientific workflow systems over traditional scripting approaches is their ability to automatically record data and process dependencies introduced during workf...
Manish Kumar Anand, Shawn Bowers, Bertram Ludä...