272 search results - page 31 / 55 » Unsupervised Outlier Detection in Time Series Data |
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Abstract--The problem of data stream classification is challenging because of many practical aspects associated with efficient processing and temporal behavior of the stream. Two s...
LWA
2008
13 years 8 months ago
2008
Detecting bursts in data streams is an important and challenging task, especially in stock market, traffic control or sensor network streams. Burst detection means the identificat...
BMCBI
2008
13 years 7 months ago
2008
Background: Testing for selection is becoming one of the most important steps in the analysis of multilocus population genetics data sets. Existing applications are difficult to u...
BMCBI
2005
13 years 7 months ago
2005
Background: Several supervised and unsupervised learning tools are available to classify functional genomics data. However, relatively less attention has been given to exploratory...
DRR
2008
13 years 8 months ago
2008
We describe an approach to unsupervised high-accuracy recognition of the textual contents of an entire book using fully automatic mutual-entropy-based model adaptation. Given imag...