146 search results - page 2 / 30 » Mining complex models from arbitrarily large databases in co... |
FQAS
2004
Springer
13 years 8 months ago
2004
Springer
The discovery of frequently occurring patterns in a time series could be important in several application contexts. As an example, the analysis of frequent patterns in biomedical ...
SDM
2009
SIAM
14 years 1 months ago
2009
SIAM
Current clustering techniques are able to identify arbitrarily shaped clusters in the presence of noise, but depend on carefully chosen model parameters. The choice of model param...
RSCTC
2000
Springer
13 years 8 months ago
2000
Springer
The main task in decision tree construction algorithms is to find the "best partition" of the set of objects. In this paper, we investigate the problem of optimal binary ...
VLDB
1998
ACM
13 years 8 months ago
1998
ACM
The increasing performance and decreasing cost of processors and memory are causing system intelligence to move into peripherals from the CPU. Storage system designers are using t...
EDBT
2000
ACM
13 years 8 months ago
2000
ACM
Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...