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» Efficient Discovery of Confounders in Large Data Sets
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SIGMOD
2009
ACM
125views Database» more  SIGMOD 2009»
16 years 6 months ago
Top-k queries on uncertain data: on score distribution and typical answers
Uncertain data arises in a number of domains, including data integration and sensor networks. Top-k queries that rank results according to some user-defined score are an important...
Tingjian Ge, Stanley B. Zdonik, Samuel Madden
VLDB
2003
ACM
147views Database» more  VLDB 2003»
16 years 6 months ago
RE-tree: an efficient index structure for regular expressions
Due to their expressive power, Regular Expressions (REs) are quickly becoming an integral part of language specifications for several important application scenarios. Many of thes...
Chee Yong Chan, Minos N. Garofalakis, Rajeev Rasto...
TIP
2010
145views more  TIP 2010»
15 years 1 months ago
Joint Manifolds for Data Fusion
The emergence of low-cost sensing architectures for diverse modalities has made it possible to deploy sensor networks that capture a single event from a large number of vantage po...
Mark A. Davenport, Chinmay Hegde, Marco F. Duarte,...
GEOINFO
2003
15 years 7 months ago
Image Data Handling in Spatial Databases
The recent advances in database technology have enabled the development of a new generation of spatial databases, where the DBMS is able to manage spatial and non-spatial data typ...
Lúbia Vinhas, Ricardo Cartaxo Modesto de So...
BMCBI
2010
161views more  BMCBI 2010»
15 years 3 months ago
Addressing the Challenge of Defining Valid Proteomic Biomarkers and Classifiers
Background: The purpose of this manuscript is to provide, based on an extensive analysis of a proteomic data set, suggestions for proper statistical analysis for the discovery of ...
Mohammed Dakna, Keith Harris, Alexandros Kalousis,...