5463 search results - page 5 / 1093 » Evaluating algorithms that learn from data streams |
MLDM
2009
Springer
14 years 3 months ago
2009
Springer
We face the problem of novelty detection from stream data, that is, the identification of new or unknown situations in an ordered sequence of objects which arrive on-line, at cons...
JMLR
2010
13 years 3 months ago
2010
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
KDD
2007
ACM
14 years 9 months ago
2007
ACM
Previous work on text mining has almost exclusively focused on a single stream. However, we often have available multiple text streams indexed by the same set of time points (call...
ISWC
2006
IEEE
14 years 2 months ago
2006
IEEE
We present an approach to activity discovery, the unsupervised identification and modeling of human actions embedded in a larger sensor stream. Activity discovery can be seen as ...
KDD
2002
ACM
14 years 9 months ago
2002
ACM
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...