Description Usage Arguments Value Examples
Algorithm proposed by: X. Tang, G. Li and G. Chen, "Fast Detecting Outliers over Online Data Streams," 2009 International Conference on Information Engineering and Computer Science, Wuhan, 2009, pp. 1-4.
1 |
data |
|
minSupport |
minimum support for FPM |
mlen |
maximum length of frequent itemsets |
noCores |
number of cores for parallel computation |
model output (list) with all results including outlier scores
1 2 3 4 | library("fpmoutliers")
dataFrame <- read.csv(
system.file("extdata", "fp-outlier-customer-data.csv", package = "fpmoutliers"))
model <- FPCOF(dataFrame, minSupport = 0.001)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.