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ADBIS
2003
Springer
108views Database» more  ADBIS 2003»
15 years 7 months ago
Dynamic Integration of Classifiers in the Space of Principal Components
Recent research has shown the integration of multiple classifiers to be one of the most important directions in machine learning and data mining. It was shown that, for an ensemble...
Alexey Tsymbal, Mykola Pechenizkiy, Seppo Puuronen...
135
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IJKDB
2010
170views more  IJKDB 2010»
14 years 11 months ago
Clustering Genes Using Heterogeneous Data Sources
Clustering of gene expression data is a standard exploratory technique used to identify closely related genes. Many other sources of data are also likely to be of great assistance...
Erliang Zeng, Chengyong Yang, Tao Li, Giri Narasim...
131
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ECOI
2007
80views more  ECOI 2007»
15 years 2 months ago
EcoLens: Integration and interactive visualization of ecological datasets
Complex multi-dimensional datasets are now pervasive in science and elsewhere in society. Better interactive tools are needed for visual data exploration so that patterns in such ...
Cynthia Sims Parr, Bongshin Lee, Benjamin B. Beder...
MSS
1999
IEEE
111views Hardware» more  MSS 1999»
15 years 6 months ago
Massive-Scale Data Management using Standards-Based Solutions
In common with many large institutes, CERN has traditionally developed and maintained its own data management solutions. Recently, a significant change of direction has taken plac...
Jamie Shiers
BMCBI
2006
149views more  BMCBI 2006»
15 years 2 months ago
Identification of biomarkers from mass spectrometry data using a "common" peak approach
Background: Proteomic data obtained from mass spectrometry have attracted great interest for the detection of early-stage cancer. However, as mass spectrometry data are high-dimen...
Tadayoshi Fushiki, Hironori Fujisawa, Shinto Eguch...