5463 search results - page 40 / 1093 » Evaluating algorithms that learn from data streams |
FUZZIEEE
2007
IEEE
15 years 4 months ago
2007
IEEE
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...
89
Voted
ICPP
2008
IEEE
15 years 4 months ago
2008
IEEE
—We consider resource allocation for distributed streaming applications running in a grid environment, where continuously streaming data needs to be aggregated and processed to p...
PSB
2001
14 years 11 months ago
2001
115
Voted
APPROX
2004
Springer
15 years 3 months ago
2004
Springer
The problem of estimating the kth frequency moment Fk for any nonnegative k, over a data stream by looking at the items exactly once as they arrive, was considered in a seminal pap...
KDD
1998
ACM
15 years 2 months ago
1998
ACM
This paper develops the concept of usefulness in the context of supervised learning. We argue that usefulness can be used to improve the performance of classification rules (as me...