| 
  • If you are citizen of an European Union member nation, you may not use this service unless you are at least 16 years old.

  • Dokkio Sidebar applies AI to make browsing the web faster and more productive. Whenever you open Sidebar, you'll get an AI summary of the web page and can ask any question you like about the content of the page! Try Dokkio Sidebar for free.

View
 

Outliers_Fraud

Page history last edited by mike@mbowles.com 11 years, 6 months ago

We'll go through the slides for chapter 10 from the book:

chap10_anomaly_detection(1).pdf

 

We'll also look at the microsoft research paper introducing one-class svm:

tr-99-87.pdf

 

We'll go through sample code using the r-packages mvoutlier and extremevalue:

for mvoutlier

mvoutlier-r-Documentation.pdf

MVoutliers.pdf

Filzmoser.pdf

 

for extremevalue:

extremevalues.pdf

 

Here's the R-code we ran in class:

extremeValues.R

mvOutlier.R

convexhull.R

EMlite.R

oneClassSVM.R

 

 

 

Comments (0)

You don't have permission to comment on this page.