2423 search results - page 9 / 485 » Outlier detection in performance data of parallel applicatio... |
SIGMOD
2000
ACM
13 years 11 months ago
2000
ACM
For many KDD applications, such as detecting criminal activities in E-commerce, finding the rare instances or the outliers, can be more interesting than finding the common pattern...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— Outliers refer to “minority” data that are different from most other data. They usually disturb data mining process. But, sometimes they provide valuable information. Thus,...
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...
SSD
2007
Springer
14 years 1 months ago
2007
Springer
With the increasing availability of spatial data in many applications, spatial clustering and outlier detection has received a lot of attention in the database and data mining comm...
ICDE
2009
IEEE
14 years 9 months ago
2009
IEEE
Abstract-- Recent work has demonstrated that readings provided by commodity sensor nodes are often of poor quality. In order to provide a valuable sensory infrastructure for monito...