WFPOF: WFPOF algorithm

In fpmoutliers: Frequent Pattern Mining Outliers

Description

Algorithm proposed by: ZHOU Xiao-Yun+, SUN Zhi-Hui, ZHANG Bai-Li, YANG Yi-Dong - A Fast Outlier Detection Algorithm for High Dimensional Categorical Data Streams. Journal of Software 18(4). April 2007.

Usage

WFPOF(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 <- WFPOF(dataFrame, minSupport = 0.001)

fpmoutliers documentation built on May 2, 2019, 8:53 a.m.