ruleInduction-methods {arulesSequences}R Documentation

Induce Sequence Rules

Description

Induce a set of strong sequence rules from a set of frequent sequences, i.e. which (1) satisfy the minimum confidence threshold and (2) which contain the last element of the generating sequence as the right-hand side (consequent) sequence.

Usage

## S4 method for signature 'sequences':
ruleInduction(x, transactions, confidence = 0.8, control = NULL)

Arguments

x an object.
transactions currently not used.
confidence a numeric value specifying the minimum confidence threshold.
control a list with logical components maximal specifying if rules should be induced from maximally frequent sequences only, and verbose if progress and runtime information should be displayed.

Value

Returns an object of class sequencerules.

Note

Currently, the collection of sequences supplied must be closed with respect to the rules to be induced. That is, the left- and the right-hand side sequence of each candidate rule must be contained in the collection of sequences. However, using timing constraints in the mining step the set of frequent sequences may not be closed under rule induction.

Author(s)

Christian Buchta

See Also

Class sequences, sequencerules, function cspade.

Examples

## continue example
example(cspade)

## mine rules
r2 <- ruleInduction(s2, confidence = 0.5,
                        control    = list(verbose = TRUE))
as(r2, "data.frame")

[Package arulesSequences version 0.1-1 Index]