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» Designing Random Sample Synopses with Outliers
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ICDE
2008
IEEE
107views Database» more  ICDE 2008»
13 years 11 months ago
Designing Random Sample Synopses with Outliers
Philipp Rösch, Rainer Gemulla, Wolfgang Lehne...
SSDBM
2008
IEEE
131views Database» more  SSDBM 2008»
13 years 11 months ago
Linked Bernoulli Synopses: Sampling along Foreign Keys
Random sampling is a popular technique for providing fast approximate query answers, especially in data warehouse environments. Compared to other types of synopses, random sampling...
Rainer Gemulla, Philipp Rösch, Wolfgang Lehne...
PVLDB
2008
127views more  PVLDB 2008»
13 years 4 months ago
Hashed samples: selectivity estimators for set similarity selection queries
We study selectivity estimation techniques for set similarity queries. A wide variety of similarity measures for sets have been proposed in the past. In this work we concentrate o...
Marios Hadjieleftheriou, Xiaohui Yu, Nick Koudas, ...
SASN
2006
ACM
13 years 10 months ago
RANBAR: RANSAC-based resilient aggregation in sensor networks
We present a novel outlier elimination technique designed for sensor networks. This technique is called RANBAR and it is based on the RANSAC (RANdom SAmple Consensus) paradigm, wh...
Levente Buttyán, Péter Schaffer, Ist...
BMCBI
2010
190views more  BMCBI 2010»
13 years 4 months ago
Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification alg
Background: Data generated using `omics' technologies are characterized by high dimensionality, where the number of features measured per subject vastly exceeds the number of...
Yu Guo, Armin Graber, Robert N. McBurney, Raji Bal...