1085 search results - page 16 / 217 » Active Mining in a Distributed Setting |
CIKM
2004
Springer
14 years 1 months ago
2004
Springer
Mining massive temporal data streams for significant trends, emerging buzz, and unusually high or low activity is an important problem with several commercial applications. In th...
KDD
2001
ACM
14 years 8 months ago
2001
ACM
Skewed distributions appear very often in practice. Unfortunately, the traditional Zipf distribution often fails to model them well. In this paper, we propose a new probability di...
PKDD
2010
Springer
13 years 6 months ago
2010
Springer
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
HPDC
2002
IEEE
14 years 1 months ago
2002
IEEE
One approach to high-performance processing of massive data sets is to incorporate computation into storage systems. Previous work has shown that this active storage model is effe...
PKDD
2009
Springer
14 years 3 months ago
2009
Springer
Data domain description techniques aim at deriving concise descriptions of objects belonging to a category of interest. For instance, the support vector domain description (SVDD) l...