127 search results - page 17 / 26 » Incremental Local Outlier Detection for Data Streams |
SIGMOD
2006
ACM
14 years 7 months ago
2006
ACM
We introduce a method to discover optimal local patterns, which concisely describe the main trends in a time series. Our approach examines the time series at multiple time scales ...
SIGKDD
2008
13 years 7 months ago
2008
We introduce the new paradigm of Change Mining as data mining over a volatile, evolving world with the objective of understanding change. While there is much work on incremental m...
IJCAI
2007
13 years 8 months ago
2007
Detecting and tracking latent factors from temporal data is an important task. Most existing algorithms for latent topic detection such as Nonnegative Matrix Factorization (NMF) h...
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...
CLUSTER
2007
IEEE
14 years 1 months ago
2007
IEEE
— A critical problem facing by managing large-scale clusters is to identify the location of problems in a system in case of unusual events. As the scale of high performance compu...