fpmoutliers (version 0.1.0)

MFPOF: MFPOF algorithm

Description

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.

Usage

MFPOF(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 <- MFPOF(dataFrame, minSupport = 0.001)
# }