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arules (version 0.6-1)

Mining Association Rules and Frequent Itemsets

Description

Provides the infrastructure for representing, manipulating and analyzing transaction data and patterns (frequent itemsets and association rules). Also provides interfaces to C implementations of the association mining algorithms Apriori and Eclat by C. Borgelt.

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Version

Install

install.packages('arules')

Monthly Downloads

11,187

Version

0.6-1

License

GPL

Maintainer

Michael Hahsler

Last Published

December 14th, 2024

Functions in arules (0.6-1)

sort

Sorting Associations
WRITE

Writes transactions or associations to disk
Groceries

Groceries Data Set
APappearance-class

Class ``APappearance'' --- Specifying the `appearance' Argument of apriori()
LIST

List Representation for Objects Based on ``itemMatrix''
ASparameter-classes

Classes ``ASparameter'', ``APparameter'', ``ECparameter'' --- Specifying the `parameter' Argument of apriori() and eclat()
Income

Income Data Set
affinity

Computing Affinity Between Items
image

Visual Inspection of Binary Incidence Matrices
match

Value Matching
[-methods

Methods for "[": Extraction or Subsetting in Package 'arules'
itemCoding

Item Coding -- Handling Item Labels and Column IDs Conversions
sample

Random Samples and Permutations
is.closed

Find Closed Itemsets
AScontrol-classes

Classes ``AScontrol'', ``APcontrol'', ``ECcontrol'' --- Specifying the `control' Argument of apriori() and eclat()
Adult

Adult Data Set
inspect

Display Associations and Transactions in Readable Form
eclat

Mining Associations with Eclat
random.transactions

Simulate a Random Transaction Data Set
tidLists-class

Class ``tidLists'' --- Transaction ID Lists for Items/Itemsets
dissimilarity

Dissimilarity Computation
is.maximal

Find Maximal Itemsets
coverage

Calculate coverage for rules
ruleInduction

Rule Induction for a Set of Itemsets
interestMeasure

Calculating various additional interest measures
itemFrequency

Getting Frequency/Support for Single Items
associations-class

Class ``associations'' - A Set of Associations
apriori

Mining Associations with Apriori
combine

Combining Objects
read.transactions

Read Transaction Data
crossTable

Cross-tabulate jount occurences across pairs of items
predict

Model Predictions
itemMatrix-class

Class ``itemMatrix'' --- Sparse Binary Incidence Matrix to Represent Sets of Items
itemFrequencyPlot

Creating a Item Frequencies/Support Bar Plot
is.superset

Find Super and Subsets
duplicated

Find Duplicated Elements
itemsets-class

Class ``itemsets'' --- A Set of Itemsets
rules-class

Class ``rules'' --- A Set of Rules
subset

Subsetting Itemsets, Rules and Transactions
size

Getting the Size of Each Element
sets

Set Operations
transactions-class

Class ``transactions'' --- Binary Incidence Matrix for Transactions
unique

Remove Duplicated Elements from a Collection
length

Getting the Number of Elements
Epub

Epub Data Set
support

Support Counting for Itemsets
proximity-classes

Classes ``dist'', ``ar_cross_dissimilarity'' and ``ar_similarity'' --- Proximity Matrices