parda: Partition Data

In yongcha/entroPD: Anonymization based on Entropy

Description

Partition Data

Usage

parda(dat, QI, TA, ...)

Arguments

dat	Original data
QI	Quasi-Identifiers
TA	Target Attribute
...

Value

Partitioning Data by Quasi-Identifiers and Target Attribute

Examples

data(AdultUCI, package='arules')
# TA (Target)
TA <- c('income')
# QI (Quasi-Identifiers)
QI <- c('age', 'workclass', 'education', 'marital.status', 'occupation', 'race', 'sex', 'native.country')
#QI <- c('age', 'workclass', 'education', 'marital.status')
# SA (Sensitive Attributes)
SA <- c('capital.gain', 'capital.loss')
# IS (Insensitive)
IS <- c('relationship', 'hours.per.week', 'education.num')
# Remove
RM <- c('fnlwgt')

parda(AdultUCI, QI, TA)

yongcha/entroPD documentation built on May 23, 2019, 9:05 p.m.