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FGCS
2007
78views more  FGCS 2007»
15 years 6 months ago
Promoting performance and separation of concerns for data mining applications on the grid
Grid Computing brought the promise of making high-performance computing cheaper and more easily available than traditional supercomputing platforms. Such a promise was very well r...
Vasco Furtado, Francisco Flávio de Souza, W...
INFORMATICALT
2002
150views more  INFORMATICALT 2002»
15 years 6 months ago
Application of Data Mining Technique for Diagnosis of Posterior Uveal Melanoma
Application of knowledge discovery in databases (data mining) for medical decision support is discussed in this work. The aim of the study was to use decision support algorithm for...
Darius Jegelevicius, Arunas Lukosevicius, Alvydas ...
PODS
2003
ACM
156views Database» more  PODS 2003»
16 years 6 months ago
Limiting privacy breaches in privacy preserving data mining
There has been increasing interest in the problem of building accurate data mining models over aggregate data, while protecting privacy at the level of individual records. One app...
Alexandre V. Evfimievski, Johannes Gehrke, Ramakri...
BMCBI
2007
154views more  BMCBI 2007»
15 years 6 months ago
PepBank - a database of peptides based on sequence text mining and public peptide data sources
Background: Peptides are important molecules with diverse biological functions and biomedical uses. To date, there does not exist a single, searchable archive for peptide sequence...
Timur Shtatland, Daniel Guettler, Misha Kossodo, M...
ICDM
2010
IEEE
108views Data Mining» more  ICDM 2010»
15 years 4 months ago
Assessing Data Mining Results on Matrices with Randomization
Abstract--Randomization is a general technique for evaluating the significance of data analysis results. In randomizationbased significance testing, a result is considered to be in...
Markus Ojala