[R] data mining for R

[chr.schulz@email.de]

Hi ,

..my intention is in main implement a fuzzy-Association-algorithms
which works better , when you have many cases on category threshold's i.e. like
age !

Open-Source apriori exist enough (use google for url) i.e. 
Apriori form Christian Borgelt 
ARTool (Java)  
Weka(Java)

You have a variable age which some categories, i.e. one is 19-29 years !
Now you search for high supports in your dataset (frequent Itemsets).

Now suppose in your data are many people with age 28 and 29 years.
Now the calculations for frequent Itemsets with the age category 30 to 39 years is
biased, because apriori counts not the people which are 28 and 29 years 
what's statistical correct but not a good interpretation of the associations 
between variables - and here works fuzzy !?

...like i'm mentioned i need until end of the year, because
i have several other normal boring jobs

regards,Christian






SKÁLA_Zdenek <skala at incoma.cz> schrieb am 06.09.02 08:32:31:
> Could you kindly send me an info after your package will be available?
> Thanks!
> Zdenek Skala
> INCOMA Research
> skala at incoma.cz
> 
> -----Original Message-----
> From: chr.schulz at email.de [mailto:chr.schulz at email.de]
> 
> ... i'm on process and be attempt develope a package 
> for association-rules (market-basket-analysis), but didn't know when i'm finished
> (hopefully end of the year with easy GUI's) ,because i jump between Java(Weka)
> and R.
> 
> regards,Christian



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