arules1.7-8 package

Mining Association Rules and Frequent Itemsets

extract

Methods for "[": Extraction or Subsetting arules Objects

fim4r

Interface to Mining Algorithms from fim4r

hierarchy

Support for Item Hierarchies

rules-class

Class rules --- A Set of Rules

abbreviate

Abbreviate item labels in transactions, itemMatrix and associations

addComplement

Add Complement-items to Transactions

affinity

Computing Affinity Between Items

APappearance-class

Class APappearance --- Specifying the appearance Argument of Apriori t...

apriori

Mining Associations with the Apriori Algorithm

arules-package

arules: Mining Association Rules and Frequent Itemsets

AScontrol-classes

Classes AScontrol, APcontrol, ECcontrol --- Specifying the control Arg...

ASparameter-classes

Classes ASparameter, APparameter, ECparameter --- Specifying the param...

associations-class

Class associations --- A Set of Associations

c

Combining Association and Transaction Objects

confint

Confidence Intervals for Interest Measures for Association Rules

coverage

Calculate coverage for rules

crossTable

Cross-tabulate joint occurrences across pairs of items

DATAFRAME

Data.frame Representation for arules Objects

discretize

Convert a Continuous Variable into a Categorical Variable

dissimilarity

Dissimilarity Matrix Computation for Associations and Transactions

duplicated

Find Duplicated Elements

eclat

Mining Associations with Eclat

hits

Computing Transaction Weights With HITS

image

Visual Inspection of Binary Incidence Matrices

inspect

Display Associations and Transactions in Readable Form

interestMeasure

Calculate Additional Interest Measures

is.closed

Find Closed Itemsets

is.generator

Find Generator Itemsets

is.maximal

Find Maximal Itemsets

is.redundant

Find Redundant Rules

is.significant

Find Significant Rules

is.superset

Find Super and Subsets

itemCoding

Item Coding --- Conversion between Item Labels and Column IDs

itemFrequency

Getting Frequency/Support for Single Items

itemFrequencyPlot

Creating a Item Frequencies/Support Bar Plot

itemMatrix-class

Class itemMatrix --- Sparse Binary Incidence Matrix to Represent Sets ...

itemsets-class

Class itemsets --- A Set of Itemsets

itemwiseSetOps

Itemwise Set Operations

LIST

List Representation for Objects Based on Class itemMatrix

match

Value Matching

merge

Adding Items to Data

pmml

Read and Write PMML

predict

Model Predictions

proximity-classes

Classes dist, ar_cross_dissimilarity and ar_similarity --- Proximity M...

random.transactions

Simulate a Random Transactions

read

Read Transaction Data

ruleInduction

Association Rule Induction from Itemsets

sample

Random Samples and Permutations

sets

Set Operations

size

Number of Items in Sets

sort

Sort Associations

subset

Subsetting Itemsets, Rules and Transactions

support

Support Counting for Itemsets

supportingTransactions

Supporting Transactions

tidLists-class

Class tidLists --- Transaction ID Lists for Items/Itemsets

transactions-class

Class transactions --- Binary Incidence Matrix for Transactions

unique

Remove Duplicated Elements from a Collection

weclat

Mining Associations from Weighted Transaction Data with Eclat (WARM)

write

Write Transactions or Associations to a File

Provides the infrastructure for representing, manipulating and analyzing transaction data and patterns (frequent itemsets and association rules). Also provides C implementations of the association mining algorithms Apriori and Eclat. Hahsler, Gruen and Hornik (2005) <doi:10.18637/jss.v014.i15>.

  • Maintainer: Michael Hahsler
  • License: GPL-3
  • Last published: 2024-08-22