Michael, thanks a lot, it works!
Now I have to study the dataset to mining some interesting rules.
Just one more question, I saw ways to find rules that contains some itens.
But,  Is there a method to find rules that doesn't have a item?

Thanks again! You were very helpfull!!!


2009/12/4 Michael Hahsler <hahsler@ai.wu.ac.at>

> Alexandre,
>
> You are mining for association rules with an absolute support count of
> 1001*0.01 = 10.1. From your 40 minutes processing time I guess that your
> survey data set is very dense and that results in an enormous number of
> frequent itemsets (potentially up to 2^k - k - 1 which is in your case for
> k=71 about 10^21) which causes you to run out of memory. You have the
> following options:
>
> * increase minimum support (e.g., start with 0.1) and see how low you can
> go without using up all your memory (I don't know how to watch memory usage
> on Windows).
>
> * restrict the maximal length of frequent itemsets by using
> parameter=list(maxlen = 3, support = ...)
>
> If that does not help I will need your dataset and some code to reproduce
> and study the problem.
>
> -Michael
>
>
>  Hi I'm a windows XP user. My notebook have 1gb ram, 160gb hd, processor
>> amd turion64 1,6gh. For processing, it takes about 40 minutes. This is the
>> code i used: dados=read.csv("C:/Documents and Settings/Administrador/Meus
>> documentos/My Dropbox/Estat?stica/Association Rules/Top2009 alterado.csv",
>> header=T, sep=";") library(arules) bin=as(dados, "transactions") rules <-
>> apriori(bin, parameter = list(support = 0.01, confidence = 0.6)) Below is a
>> sample of the file. I export data as CSV from excel. I have 71 columns
>> (variabels) an 1001 lines (responses) 1. Churrascaria 2. Supermercado 3.
>> Restaurante Self Service 4. Restaurante Chin?s 5. Buffet 6. Sorvete Galp?o
>> Nelore Super Muffato N?o Sabe Jin Jin Planalto S?vio Vento Sul Super Muffato
>> N?o Sabe N?o Sabe N?o Sabe Doce Ver?o Ga?cha Super Muffato N?o Sabe N?o Sabe
>> N?o Sabe Kibon Tradi??o Ga?cha Super Muffato N?o Sabe N?o Sabe N?o Sabe
>> Nestl? N?o Sabe Super Muffato N?o Sabe N?o Sabe Estilo S?vio Rancho Grill
>> Viscardi Akira Akira N?
>>
> o Sabe N?o Sabe Thank you very for your helping!!! On 3 dez, 01:46, Steve
> Lianoglou <mailinglist.honey...@gmail.com> wrote:
>
>> > Hi,
>>>
>>> >
>>> > On Wed, Dec 2, 2009 at 6:57 PM, Alexandre - UEL <shima...@gmail.com>
>>> wrote:
>>> >
>>>
>>>> > > Hello everybody!
>>>> > > I'm trying some datamining, but i'm having some problems with arule
>>>> > > package, in the end of processing R "had to be closed". I already
>>>> > > tryied to reinstall the 2.10 version, change the computer and
>>>> > > realocated more virtual memory.
>>>>
>>> >
>>>
>>>> > > Does anyone had this problem to?
>>>>
>>> >
>>>
>>>> > > I had a hiphoteses that i have to prepare the data, somehow i don't
>>>> > > know.
>>>>
>>> >
>>>
>>>> > > Thanks for helping!!!
>>>>
>>> >
>>> > Can you provide more info here?
>>> >
>>> > 1. I'm assuming since you're talking about reallocating virtual
>>> > memory, or whatever, you're on windows?
>>> > 2. What's the exact error you're getting (what's it saying before "R
>>> > 'had to be closed'"?
>>> > 3. What's the size of your data? What type of data is it?
>>> > 4. How much RAM do you have?
>>> > 5. Are you on a 32 or 64 bit system?
>>> > 6 What happens if you cut your data in half?
>>> > 6. Can you provide a (very small) reproducible example of your data +
>>> code?
>>> > ...
>>> >
>>> > -steve
>>> >
>>> > --
>>> > Steve Lianoglou
>>> > Graduate Student: Computational Systems Biology
>>> >  | Memorial Sloan-Kettering Cancer Center
>>> >  | Weill Medical College of Cornell University
>>> > Contact Info:http://cbio.mskcc.org/~lianos/contact<http://cbio.mskcc.org/%7Elianos/contact>
>>> >
>>> > ______________________________________________
>>> > R-h...@r-project.org mailing listhttps://
>>> stat.ethz.ch/mailman/listinfo/r-help
>>> > PLEASE do read the posting guidehttp://
>>> www.R-project.org/posting-guide.html
>>>
>>> > and provide commented, minimal, self-contained, reproducible code.
>>>
>>
>>
>
>
>
> --
>  Michael Hahsler
>  email: michael@hahsler.net
>  web: http://michael.hahsler.net
>



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