287 search results - page 11 / 58 » Coactive Learning for Distributed Data Mining |
PKDD
2005
Springer
15 years 3 months ago
2005
Springer
In applications such as fraud and intrusion detection, it is of great interest to measure the evolving trends in the data. We consider the problem of quantifying changes between tw...
ICDM
2009
IEEE
14 years 7 months ago
2009
IEEE
Traditional machine learning algorithms assume that data are exact or precise. However, this assumption may not hold in some situations because of data uncertainty arising from mea...
DMIN
2007
14 years 11 months ago
2007
— One way to handle data mining problems where class prior probabilities and/or misclassification costs between classes are highly unequal is to resample the data until a new, d...
HPDC
2008
IEEE
15 years 4 months ago
2008
IEEE
As grid computation systems become larger and more complex, manually diagnosing failures in jobs becomes impractical. Recently, machine-learning techniques have been proposed to d...
PKDD
2010
Springer
14 years 7 months ago
2010
Springer
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...