1950 search results - page 76 / 390 » Informative sampling for large unbalanced data sets |
121
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BMCBI
2008
15 years 1 months ago
2008
Background: There is an urgent need for new prognostic markers of breast cancer metastases to ensure that newly diagnosed patients receive appropriate therapy. Recent studies have...
114
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CAIP
2007
Springer
15 years 7 months ago
2007
Springer
The paper focusses on a group of segmentation problems dealing with 3D data sets showing thin objects that appear disconnected in the data due to partial volume effects or a large...
221
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ASUNAM
2011
IEEE
14 years 1 months ago
2011
IEEE
—Modern applications such as web knowledge base, network traffic monitoring and online social networks have made available an unprecedented amount of network data with rich type...
144
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TIP
2010
14 years 12 months ago
2010
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
PPOPP
2005
ACM
15 years 7 months ago
2005
ACM
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...