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BMCBI
2008
105views more  BMCBI 2008»
13 years 7 months ago
Objective and automated protocols for the evaluation of biomedical search engines using No Title Evaluation protocols
Background: The evaluation of information retrieval techniques has traditionally relied on human judges to determine which documents are relevant to a query and which are not. Thi...
Fabien Campagne
ICDE
2012
IEEE
246views Database» more  ICDE 2012»
11 years 10 months ago
HiCS: High Contrast Subspaces for Density-Based Outlier Ranking
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
Fabian Keller, Emmanuel Müller, Klemens B&oum...
SIGMOD
2007
ACM
176views Database» more  SIGMOD 2007»
14 years 7 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...
SDM
2010
SIAM
146views Data Mining» more  SDM 2010»
13 years 9 months ago
Evaluating Query Result Significance in Databases via Randomizations
Many sorts of structured data are commonly stored in a multi-relational format of interrelated tables. Under this relational model, exploratory data analysis can be done by using ...
Markus Ojala, Gemma C. Garriga, Aristides Gionis, ...
SPIRE
2005
Springer
14 years 1 months ago
Retrieval Status Values in Information Retrieval Evaluation
Retrieval systems rank documents according to their retrieval status values (RSV) if these are monotonously increasing with the probability of relevance of documents. In this work,...
Amélie Imafouo, Xavier Tannier