powered by
Algorithm proposed by: Jiadong Ren, Qunhui Wu, Jiadong Ren, Changzhen Hu, Kunsheng Wang - An Approach for Analyzing Infrequent Software Faults Based on Outlier Detection
WCFPOF(data, minSupport = 0.3, mlen = 0, noCores = 1)
data.frame or transactions from arules with input data
data.frame
transactions
arules
minimum support for FPM
maximum length of frequent itemsets
number of cores for parallel computation
model output (list) with all results including outlier scores
# NOT RUN { library("fpmoutliers") dataFrame <- read.csv( system.file("extdata", "fp-outlier-customer-data.csv", package = "fpmoutliers")) model <- WCFPOF(dataFrame, minSupport = 0.001) # }
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