LFPOF: LFPOF algorithm

In jaroslav-kuchar/fpmoutliers: Frequent Pattern Mining Outliers

Description

Algorithm proposed by: W. Zhang, J. Wu and J. Yu, "An Improved Method of Outlier Detection Based on Frequent Pattern," Information Engineering (ICIE), 2010 WASE International Conference on, Beidaihe, Hebei, 2010, pp. 3-6.

Usage

LFPOF(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

library("fpmoutliers")
dataFrame <- read.csv(
     system.file("extdata", "fp-outlier-customer-data.csv", package = "fpmoutliers"))
model <- LFPOF(dataFrame, minSupport = 0.001)

jaroslav-kuchar/fpmoutliers documentation built on May 18, 2019, 4:48 p.m.