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mhahsler committed Oct 2, 2016
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4 changes: 2 additions & 2 deletions DESCRIPTION
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Package: arules
Version: 1.4-2-1
Date: 2016-xx-xx
Version: 1.5-0
Date: 2016-09-23
Title: Mining Association Rules and Frequent Itemsets
Authors@R: c(person("Michael", "Hahsler", role = c("aut", "cre", "cph"),
email = "mhahsler@lyle.smu.edu"),
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2 changes: 1 addition & 1 deletion NEWS.md
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# Changes in version 1.4-2-1 (xx/xx/2016)
# Changes in version 1.5-0 (09/23/2016)

* IMPORTANT CHANGE: apriori uses now a time limit set in parameter with
maxtime. The default is 5 seconds. Running out of time or maxlen results
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42 changes: 23 additions & 19 deletions README.md
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Expand Up @@ -14,7 +14,7 @@ Additional packages in the arules family are:

* [arulesViz](http://github.com/mhahsler/arulesViz): Visualization of association rules.
* [arulesCBA](http://github.com/ianjjohnson/arulesCBA): Classification based on association rules.
* [arulesSequences](http://cran.r-project.org/package=arulesSequences):
* [arulesSequences](https://cran.r-project.org/package=arulesSequences):
Mining frequent sequences.
* [arulesNBMiner](http://github.com/mhahsler/arulesNBMiner):
Mining NB-frequent itemsets and NB-precise rules.
Expand All @@ -29,9 +29,8 @@ Additional packages in the arules family are:
R> library("arules")
R> data("Adult")

## Mine association rules.
R> rules <- apriori(Adult,
+ parameter = list(supp = 0.5, conf = 0.9, target = "rules"))
R> ## Mine association rules
R> rules <- apriori(Adult, parameter = list(supp = 0.5, conf = 0.9, target = "rules"))

Parameter specification:
confidence minval smax arem aval originalSupport support minlen maxlen target ext
Expand All @@ -41,6 +40,8 @@ Algorithmic control:
filter tree heap memopt load sort verbose
0.1 TRUE TRUE FALSE TRUE 2 TRUE

Absolute minimum support count: 24421

apriori - find association rules with the apriori algorithm
version 4.21 (2004.05.09) (c) 1996-2004 Christian Borgelt
set item appearances ...[0 item(s)] done [0.00s].
Expand All @@ -51,6 +52,7 @@ checking subsets of size 1 2 3 4 done [0.00s].
writing ... [52 rule(s)] done [0.00s].
creating S4 object ... done [0.01s].

R> ## Show some basic statistics
R> summary(rules)
set of 52 rules

Expand All @@ -74,27 +76,29 @@ mining info:
data ntransactions support confidence
Adult 48842 0.5 0.9

R> ## Inspect rules with the highest lift
R> inspect(head(sort(rules, by = "lift")))
lhs rhs support confidence lift
1 {sex=Male,
native-country=United-States} => {race=White} 0.5415421 0.9051090 1.058554
2 {sex=Male,
capital-loss=None,
native-country=United-States} => {race=White} 0.5113632 0.9032585 1.056390
3 {race=White} => {native-country=United-States} 0.7881127 0.9217231 1.027076
4 {race=White,
capital-loss=None} => {native-country=United-States} 0.7490480 0.9205626 1.025783
5 {race=White,
sex=Male} => {native-country=United-States} 0.5415421 0.9204803 1.025691
6 {race=White,
capital-gain=None} => {native-country=United-States} 0.7194628 0.9202807 1.025469
lhs rhs support confidence lift
[1] {sex=Male,
native-country=United-States} => {race=White} 0.5415421 0.9051090 1.058554
[2] {sex=Male,
capital-loss=None,
native-country=United-States} => {race=White} 0.5113632 0.9032585 1.056390
[3] {race=White} => {native-country=United-States} 0.7881127 0.9217231 1.027076
[4] {race=White,
capital-loss=None} => {native-country=United-States} 0.7490480 0.9205626 1.025783
[5] {race=White,
sex=Male} => {native-country=United-States} 0.5415421 0.9204803 1.025691
[6] {race=White,
capital-gain=None} => {native-country=United-States} 0.7194628 0.9202807 1.025469

```

## Further Information

* List changes from [NEWS.md](https://github.com/mhahsler/arules/blob/master/NEWS.md)
* [Reference manual](http://cran.r-project.org/web/packages/arules/arules.pdf)
* [arules package vignette](http://cran.r-project.org/web/packages/arules/vignettes/arules.pdf) with complete examples.
* [Reference manual](https://cran.r-project.org/package=arules/arules.pdf)
* [arules package vignette](https://cran.r-project.org/package=arules/vignettes/arules.pdf) with complete examples.
* Development version of [arules on github](https://github.com/mhahsler/arules).
* Michael Hahsler, Bettina Gr&uuml;n and Kurt Hornik, [arules - A Computational Environment for Mining Association Rules and Frequent Item Sets.](http://dx.doi.org/10.18637/jss.v014.i15) _Journal of Statistical Software,_ 14(15), 2005.
* Michael Hahsler, Sudheer Chelluboina, Kurt Hornik, and Christian Buchta. [The arules R-package ecosystem: Analyzing interesting patterns from large transaction datasets.](http://jmlr.csail.mit.edu/papers/v12/hahsler11a.html) _Journal of Machine Learning Research,_ 12:1977-1981, 2011.
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