1577 search results - page 209 / 316 » Data Mining: Machine Learning, Statistics, and Databases |
ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
The general approach for automatically driving data collection using information from previously acquired data is called active learning. Traditional active learning addresses the...
205
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SIGMOD
2007
ACM
16 years 1 months ago
2007
ACM
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
123
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KDD
2009
ACM
15 years 6 months ago
2009
ACM
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
120
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ADBIS
2003
Springer
15 years 6 months ago
2003
Springer
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...
101
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KDD
2009
ACM
15 years 8 months ago
2009
ACM
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...