AScontrol-classes | R Documentation |
The AScontrol
class holds the algorithmic parameters for the used
mining algorithms. APcontrol
and ECcontrol
directly extend
AScontrol
with additional slots for parameters only suitable for the
algorithms Apriori (APcontrol
) and Eclat (ECcontrol
).
sort
an integer scalar indicating how to sort items with respect to their frequency: (default: 2)
1: ascending
-1: descending
0: do not sort
2: ascending
-2: descending with respect to transaction size sum
verbose
a logical indicating whether to report progress
filter
a numeric scalar indicating how to filter unused items from transactions (default: 0.1)
=0
: do not filter items with respect to. usage in sets
<0
: fraction of removed items for filtering
>0
: take execution times ratio into account
tree
a logical indicating whether to
organize transactions as a prefix tree (default: TRUE
)
heap
a logical indicating whether to
use heapsort instead of quicksort to sort the transactions
(default: TRUE
)
memopt
a logical indicating whether to
minimize memory usage instead of maximize speed (default: FALSE
)
load
a logical indicating whether to
load transactions into memory (default: TRUE
)
sparse
a numeric value for the threshold for sparse representation (default: 7)
APcontrol
:
filter
, tree
, heap
, memopt
, load
, sort
, verbose
ECcontrol
:
sparse
, sort
, verbose
A suitable default control object will be
automatically created by the apriori()
or the
eclat()
function. By specifying a named list (names equal to
slots) as the control
argument for apriori()
or
eclat()
, default values can be replaced with the values
in the list.
Objects can also be created via coercion.
as("NULL", "APcontrol")
as("list", "APcontrol")
as("NULL", "ECcontrol")
as("list", "ECcontrol")
Michael Hahsler and Bettina Gruen
Christian Borgelt (2004) Apriori — Finding Association Rules/Hyperedges with the Apriori Algorithm. https://borgelt.net/apriori.html
Other mining algorithms:
APappearance-class
,
ASparameter-classes
,
apriori()
,
eclat()
,
fim4r()
,
ruleInduction()
,
weclat()
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