fpmoutliers (version 0.1.0)

FPCOF: FPCOF algorithm

Description

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.

Usage

FPCOF(data, minSupport = 0.3, mlen = 0, noCores = 1)

Arguments

data

data.frame or transactions from arules with input data

minSupport

minimum support for FPM

mlen

maximum length of frequent itemsets

noCores

number of cores for parallel computation

Value

model output (list) with all results including outlier scores

Examples

# NOT RUN {
library("fpmoutliers")
dataFrame <- read.csv(
     system.file("extdata", "fp-outlier-customer-data.csv", package = "fpmoutliers"))
model <- FPCOF(dataFrame, minSupport = 0.001)
# }