SPparameter-class {arulesSequences}

Class "SPparameter" — cSPADE Mining Parameters

Description

Provides the constraint parameters for the cSPADE algorithm for mining frequent sequences.

Objects from the Class

A suitable default parameter object will be automatically created by a call to cspade. However, the values can be replaced by specifying a named list with the names (partially) matching the slot names of the SPparameter class.

Objects can be created by calls of the form new("SPparameter", support, ...).

Slots

support:

a numeric value specifying the minimum support of a sequence (default 0.1, range [0,1]).

maxsize:

an integer value specifying the maximum number of items of an element of a sequence (default 10, range > 0).

maxlen:

an integer value specifying the maximum number of elements of a sequence (default 10, range > 0).

mingap:

an integer value specifying the minimum time difference between consecutive elements of a sequence (default none, range >= 1).

maxgap:

an integer value specifying the maximum time difference between consecutive elements of a sequence (default none, range >= 0).

maxwin:

an integer value specifying the maximum time difference between any two elements of a sequence (default none, range >= 0).

Methods

coerce

signature(from = "NULL", to = "SPparameter")

coerce

signature(from = "list", to = "SPparameter")

coerce

signature(from = "SPparameter", to = "character")

coerce

signature(from = "SPparameter", to = "data.frame")

coerce

signature(from = "SPparameter", to = "list")

coerce

signature(from = "SPparameter", to = "vector")

format

signature(x = "SPparameter")

Note

User-supplied values are silently coerced to the target class, e.g. integer.

Parameters with no (default) value are not supplied to the mining algorithm, i.e., take the default values implemented there. A value can be unset using NULL.

Author(s)

Christian Buchta

See Also

Class SPcontrol, function cspade.

Examples

## coerce from list 
p <- as(list(maxsize = NULL, maxwin = 5), "SPparameter")
p

## coerce to
as(p, "vector")
as(p, "data.frame")