Mining Association Rules and Frequent Itemsets
Methods for "[": Extraction or Subsetting arules Objects
Interface to Mining Algorithms from fim4r
Support for Item Hierarchies
Class rules --- A Set of Rules
Abbreviate item labels in transactions, itemMatrix and associations
Add Complement-items to Transactions
Computing Affinity Between Items
Class APappearance --- Specifying the appearance Argument of Apriori t...
Mining Associations with the Apriori Algorithm
arules: Mining Association Rules and Frequent Itemsets
Classes AScontrol, APcontrol, ECcontrol --- Specifying the control Arg...
Classes ASparameter, APparameter, ECparameter --- Specifying the param...
Class associations --- A Set of Associations
Combining Association and Transaction Objects
Confidence Intervals for Interest Measures for Association Rules
Calculate coverage for rules
Cross-tabulate joint occurrences across pairs of items
Data.frame Representation for arules Objects
Convert a Continuous Variable into a Categorical Variable
Dissimilarity Matrix Computation for Associations and Transactions
Find Duplicated Elements
Mining Associations with Eclat
Computing Transaction Weights With HITS
Visual Inspection of Binary Incidence Matrices
Display Associations and Transactions in Readable Form
Calculate Additional Interest Measures
Find Closed Itemsets
Find Generator Itemsets
Find Maximal Itemsets
Find Redundant Rules
Find Significant Rules
Find Super and Subsets
Item Coding --- Conversion between Item Labels and Column IDs
Getting Frequency/Support for Single Items
Creating a Item Frequencies/Support Bar Plot
Class itemMatrix --- Sparse Binary Incidence Matrix to Represent Sets ...
Class itemsets --- A Set of Itemsets
Itemwise Set Operations
List Representation for Objects Based on Class itemMatrix
Value Matching
Adding Items to Data
Read and Write PMML
Model Predictions
Classes dist, ar_cross_dissimilarity and ar_similarity --- Proximity M...
Simulate a Random Transactions
Read Transaction Data
Association Rule Induction from Itemsets
Random Samples and Permutations
Set Operations
Number of Items in Sets
Sort Associations
Subsetting Itemsets, Rules and Transactions
Support Counting for Itemsets
Supporting Transactions
Class tidLists --- Transaction ID Lists for Items/Itemsets
Class transactions --- Binary Incidence Matrix for Transactions
Remove Duplicated Elements from a Collection
Mining Associations from Weighted Transaction Data with Eclat (WARM)
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>.