555 search results - page 110 / 111 » Knowledge discovery from sensor data (SensorKDD) |
CIKM
2008
Springer
13 years 11 months ago
2008
Springer
In the past, quite a few fast algorithms have been developed to mine frequent patterns over graph data, with the large spectrum covering many variants of the problem. However, the...
BMCBI
2008
13 years 10 months ago
2008
Background: Large-scale compilation of gene expression microarray datasets across diverse biological phenotypes provided a means of gathering a priori knowledge in the form of ide...
BMCBI
2008
13 years 10 months ago
2008
Background: Choosing the appropriate sample size is an important step in the design of a microarray experiment, and recently methods have been proposed that estimate sample sizes ...
ICDE
2007
IEEE
14 years 11 months ago
2007
IEEE
Monitoring predefined patterns in streaming time series is useful to applications such as trend-related analysis, sensor networks and video surveillance. Most current studies on s...
VLDB
1998
ACM
14 years 2 months ago
1998
ACM
This paper deals with finding outliers (exceptions) in large, multidimensional datasets. The identification of outliers can lead to the discovery of truly unexpected knowledge in ...