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arules (version 0.3-1)

Mining Association Rules and Frequent Itemsets

Description

Provides the basic 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.

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Version

Install

install.packages('arules')

Monthly Downloads

25,344

Version

0.3-1

License

GPL version 2 or later. This R package includes C code from Christian Borgelt which is distributed under the GPL version 2.1.

Maintainer

Michael Hahsler

Last Published

December 14th, 2024

Functions in arules (0.3-1)

random.transactions

Simulate a Random Transaction Data Set
[-methods

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

Display Associations and Transactions in Readable Form
rules-class

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

Set Operations
unique

Remove Duplicated Elements from a Collection
length

Getting the Number of Elements
superset

Find Super and Subsets
Epub

Epub Data Set
match

Value Matching
measures

Calculating Additional Interest Measures for Existing Associations
image

Visual Inspection of Binary Incidence Matrices
dissimilarity

Dissimilarity Computation
crossTable

Cross-tabulate jount occurences across pairs of items
affinity

Computing Affinity Between Items
associations-class

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

Mining Associations with Eclat
combine

Combining Objects
tidLists-class

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

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

Find Duplicated Elements
Adult

Adult Data Set
ASparameter-classes

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

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

Model Predictions
Income

Income Data Set
AScontrol-classes

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

List Representation for Objects Based on ``itemMatrix''
subset

Subsetting Itemsets, Rules and Transactions
support

Support Counting for Itemsets
itemMatrix-class

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

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

Mining Associations with Apriori
ruleInduction

Rule Induction for a Set of Itemsets
WRITE

Writes transactions or associations to disk
itemsets-class

Class ``itemsets'' --- A Set of Itemsets
itemFrequency

Getting Frequency/Support for Single Items
read.transactions

Read Transaction Data
sample

Random Samples and Permutations
itemFrequencyPlot

Creating a Item Frequencies/Support Bar Plot
size

Getting the Size of Each Element
Groceries

Groceries Data Set
SORT

Sorting Associations
APappearance-class

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