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TKDD
2008
113views more  TKDD 2008»
15 years 5 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 6 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 10 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...
SIGKDD
2010
128views more  SIGKDD 2010»
15 years 23 days 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 6 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...