127 search results - page 19 / 26 » Mining asynchronous periodic patterns in time series data |
KDD
2004
ACM
15 years 9 months ago
2004
ACM
Most data mining algorithms require the setting of many input parameters. Two main dangers of working with parameter-laden algorithms are the following. First, incorrect settings ...
KDD
2010
ACM
15 years 1 months ago
2010
ACM
Mining cluster evolution from multiple correlated time-varying text corpora is important in exploratory text analytics. In this paper, we propose an approach called evolutionary h...
164
click to vote
ICDE
2009
IEEE
15 years 11 months ago
2009
IEEE
Existing 3D clustering algorithms on gene ? sample ? time expression data do not consider the time lags between correlated gene expression patterns. Besides, they either ignore the...
CIKM
2005
Springer
15 years 2 months ago
2005
Springer
Existing web usage mining techniques focus only on discovering knowledge based on the statistical measures obtained from the static characteristics of web usage data. They do not ...
SDM
2008
SIAM
14 years 10 months ago
2008
SIAM
In this paper, we propose a new approach to anomaly detection by looking at the latent variable space to make the first step toward latent anomaly detection. Most conventional app...