16 search results - page 1 / 4 » An Analysis of Stopping and Filtering Criteria for Rule Lear... |
ECML
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. In this paper, we investigate the properties of commonly used prepruning heuristics for rule learning by visualizing them in PN-space. PN-space is a variant of ROC-space,...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
ISMIS
2005
Springer
13 years 10 months ago
2005
Springer
In spatial data mining, a common task is the discovery of spatial association rules from spatial databases. We propose a distributed system, named ARES that takes advantage of the ...
KDD
1997
ACM
13 years 8 months ago
1997
ACM
This paper presents an autonomous algorithm for discovering exception rules from data sets. An exception rule, which is defined as a deviational pattern to a well-known fact, exhi...
NIPS
2000
13 years 6 months ago
2000
The paradigm of Hebbian learning has recently received a novel interpretation with the discovery of synaptic plasticity that depends on the relative timing of pre and post synapti...