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» Ranking distributed probabilistic data
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SIGMOD
2009
ACM
175views Database» more  SIGMOD 2009»
14 years 4 months ago
Ranking distributed probabilistic data
Ranking queries are essential tools to process large amounts of probabilistic data that encode exponentially many possible deterministic instances. In many applications where unce...
Feifei Li, Ke Yi, Jeffrey Jestes
PVLDB
2010
97views more  PVLDB 2010»
13 years 2 months ago
Ranking Continuous Probabilistic Datasets
Ranking is a fundamental operation in data analysis and decision support, and plays an even more crucial role if the dataset being explored exhibits uncertainty. This has led to m...
Jian Li, Amol Deshpande
ECIR
2006
Springer
13 years 5 months ago
Probabilistic Score Normalization for Rank Aggregation
Abstract. Rank aggregation is a pervading operation in IR technology. We hypothesize that the performance of score-based aggregation may be affected by artificial, usually meaningl...
Miriam Fernández, David Vallet, Pablo Caste...
SSDBM
2006
IEEE
122views Database» more  SSDBM 2006»
13 years 10 months ago
Probabilistic Ranking Queries on Gaussians
In many modern applications, there are no exact values available to describe the data objects. Instead, the feature values are considered to be uncertain. This uncertainty is mode...
Christian Böhm, Alexey Pryakhin, Matthias Sch...
ICDE
2009
IEEE
170views Database» more  ICDE 2009»
14 years 6 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