232 search results - page 2 / 47 » Comparison of Outlier Detection Methods in Fault-proneness M... |
CORR
2010
Springer
13 years 5 months ago
2010
Springer
This paper studies the outlier detection problem from the point of view of penalized regressions. Our regression model adds one mean shift parameter for each of the n data points....
DPD
2002
13 years 5 months ago
2002
Data mining is a new, important and fast growing database application. Outlier (exception) detection is one kind of data mining, which can be applied in a variety of areas like mon...
ECBS
2006
IEEE
13 years 9 months ago
2006
IEEE
Fault prediction models still seem to be more popular in academia than in industry. In industry expert estimations of fault proneness are the most popular methods of deciding wher...
JSS
2000
13 years 5 months ago
2000
The first goal of this paper is to empirically explore the relationships between existing object-oriented coupling, cohesion, and inheritance measures and the probability of fault...
CCE
2004
13 years 5 months ago
2004
Outliers are observations that do not follow the statistical distribution of the bulk of the data, and consequently may lead to erroneous results with respect to statistical analy...