272 search results - page 28 / 55 » Unsupervised Outlier Detection in Time Series Data |
TKDE
2010
13 years 5 months ago
2010
—Accurate and timely detection of infectious disease outbreaks provides valuable information which can enable public health officials to respond to major public health threats in...
IV
2010
IEEE
13 years 5 months ago
2010
IEEE
We represent time-varying data as polyline charts very often. At the same time, we often need to observe hundreds or even thousands of time-varying values in one chart. However, i...
PKDD
2004
Springer
14 years 23 days ago
2004
Springer
Abstract. In this paper, we introduce a new approach for mining regulatory interactions between genes in microarray time series studies. A number of preprocessing steps transform t...
AMW
2010
13 years 8 months ago
2010
Discovering the patterns in evolving data streams is a very important and challenging task. In many applications, it is useful to detect the dierent patterns evolving over time and...
KDD
2007
ACM
14 years 7 months ago
2007
ACM
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...