fim4r | R Documentation |
Interfaces the algorithms implemented in fim4r. The algorithms include: Apriori, Eclat, FPgrowth, Carpenter, IsTa, RElim and SaM.
fim4r(
transactions,
method = NULL,
support = 0.1,
confidence = 0.8,
target = "frequent",
originalSupport = TRUE,
appear = NULL,
report = NULL,
verbose = TRUE,
...
)
transactions |
a transactions object |
method |
the algorithm to be used. One of:
|
support |
a numeric value for the minimal support in the range |
confidence |
a numeric value for the minimal confidence of rules in the range |
target |
the target type. One of: |
originalSupport |
logical; Use the support threshold on the support of the whole rule (LHS and RHS).
If |
appear |
Specify item appearance in rules (only for apriori, eclat, fpgrowth
and the target
|
report |
cannot be used via the interface. |
verbose |
logical; print used parameters? |
... |
further arguments are passed on to the function |
Installation:
The package fim4r is not available via CRAN. If needed,
the fim4r()
function downloads and installs the current version of the package automatically.
Additional Notes:
Support and confidence are specified here in the range [0,1]
. This is different from the use in fim4r
package where supp
and conf
have the range [0, 100]
.
arules::fim4r()
automatically converts confidence internally.
fim4r
methods also return the empty itemset while arules
methods do not.
Type ? fim4r::fim4r
for help on additional available arguments. This is only available
after package fim4r
is installed.
Algorithm descriptions and references can be found on the web page in the References Section.
An object of class itemsets or rules.
Christian Borgelt, fimi4r: Frequent Item Set Mining and Association Rule Induction for R. https://borgelt.net/fim4r.html
Other mining algorithms:
APappearance-class
,
AScontrol-classes
,
ASparameter-classes
,
apriori()
,
eclat()
,
ruleInduction()
,
weclat()
## Not run:
data(Adult)
# list available algorithms
fim4r()
# mine association rules with FPgrowth
r <- fim4r(Adult, method = "fpgrowth", target = "rules", supp = .7, conf = .8)
r
inspect(head(r, by = "lift"))
# mine closed itemsets with Carpenter or IsTa
closed <- fim4r(Adult, method = "carpenter", target = "closed", supp = .7)
closed
fim4r(Adult, method = "ista", target = "closed", supp = .7)
# mine frequent itemset of length 2 (zmin and zmax = 2)
freq_2 <- fim4r(Adult, method = "relim", target = "frequent", supp = .7,
zmin = 2, zmax = 2)
inspect(freq_2)
# mine maximal frequent itemsets
mfis <- fim4r(Adult, method = "sam", target = "maximal", supp = .7)
inspect(mfis)
# use item appearance. We first mine all rules and then restrict
# the appearance of the item capital-gain=None
rules_all <- fim4r(Adult, method = "fpgrowth", target = "rules",
supp = .9, conf = .9, zmin = 2)
inspect(rules_all)
rules_no_gain <- fim4r(Adult, method = "fpgrowth", target = "rules",
supp = .9, conf = .9, zmin = 2,
appear = list(c("capital-gain=None"), c("-"))
)
inspect(rules_no_gain)
## End(Not run)
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