Description Usage Arguments Value Examples
Algorithm proposed by: Feng Lin, Wang Le, Jin Bo - Research on Maximal Frequent Pattern Outlier Factor for Online HighDimensional Time-Series Outlier Detection. Journal of Convergence Information Technology 5(10):66-71. December 2010.
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 <- MFPOF(dataFrame, minSupport = 0.001)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.