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TKDD
2008
113views more  TKDD 2008»
15 years 2 months ago
Privacy-preserving classification of vertically partitioned data via random kernels
We propose a novel privacy-preserving support vector machine (SVM) classifier for a data matrix A whose input feature columns are divided into groups belonging to different entiti...
Olvi L. Mangasarian, Edward W. Wild, Glenn Fung
VLDB
2007
ACM
102views Database» more  VLDB 2007»
16 years 2 months ago
Randomized Algorithms for Data Reconciliation in Wide Area Aggregate Query Processing
Many aspects of the data integration problem have been considered in the literature: how to match schemas across different data sources, how to decide when different records refer...
Fei Xu, Chris Jermaine
ER
2001
Springer
136views Database» more  ER 2001»
15 years 6 months ago
A Randomized Approach for the Incremental Design of an Evolving Data Warehouse
A Data Warehouse (DW) can be used to integrate data from multiple distributed data sources. A DW can be seen as a set of materialized views that determine its schema and its conten...
Dimitri Theodoratos, Theodore Dalamagas, Alkis Sim...
120
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SIGKDD
2010
128views more  SIGKDD 2010»
14 years 9 months ago
On cross-validation and stacking: building seemingly predictive models on random data
A number of times when using cross-validation (CV) while trying to do classification/probability estimation we have observed surprisingly low AUC's on real data with very few...
Claudia Perlich, Grzegorz Swirszcz
BMCBI
2007
160views more  BMCBI 2007»
15 years 2 months ago
Identifying protein complexes directly from high-throughput TAP data with Markov random fields
Background: Predicting protein complexes from experimental data remains a challenge due to limited resolution and stochastic errors of high-throughput methods. Current algorithms ...
Wasinee Rungsarityotin, Roland Krause, Arno Sch&ou...