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» Query answering techniques on uncertain and probabilistic da...
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ICDE
2009
IEEE
170views Database» more  ICDE 2009»
14 years 7 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
PVLDB
2010
152views more  PVLDB 2010»
13 years 3 months ago
k-Nearest Neighbors in Uncertain Graphs
Complex networks, such as biological, social, and communication networks, often entail uncertainty, and thus, can be modeled as probabilistic graphs. Similar to the problem of sim...
Michalis Potamias, Francesco Bonchi, Aristides Gio...
ICDE
2009
IEEE
214views Database» more  ICDE 2009»
14 years 7 months ago
Ranking with Uncertain Scores
Large databases with uncertain information are becoming more common in many applications including data integration, location tracking, and Web search. In these applications, ranki...
Mohamed A. Soliman, Ihab F. Ilyas
SIGMOD
2007
ACM
176views Database» more  SIGMOD 2007»
14 years 5 months ago
URank: formulation and efficient evaluation of top-k queries in uncertain databases
Top-k processing in uncertain databases is semantically and computationally different from traditional top-k processing. The interplay between query scores and data uncertainty ma...
Mohamed A. Soliman, Ihab F. Ilyas, Kevin Chen-Chua...
ICDE
2006
IEEE
141views Database» more  ICDE 2006»
14 years 6 months ago
Clean Answers over Dirty Databases: A Probabilistic Approach
The detection of duplicate tuples, corresponding to the same real-world entity, is an important task in data integration and cleaning. While many techniques exist to identify such...
Ariel Fuxman, Periklis Andritsos, Renée J. ...