Dear R-users! I would like to search for "association rules" (and compute support and confidence, for example) in a data set, and wonder if this can be done with R (version 1.5.0 for Windows)? Particulary, I wonder if a) anyone has done something like that with R or b)maybe someone has written an R-interface to some existing algorithm/software (e.g. to something like the "apriori"-program, available from http://fuzzy.cs.uni-magdeburg.de/~borgelt/#Software)? -Heinrich Rinner. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
RINNER Heinrich <H.RINNER at tirol.gv.at> writes:> Dear R-users! > > I would like to search for "association rules" (and compute support and > confidence, for example) in a data set, and wonder if this can be done with > R (version 1.5.0 for Windows)? > > Particulary, I wonder if > a) anyone has done something like that with R > or > b)maybe someone has written an R-interface to some existing > algorithm/software (e.g. to something like the "apriori"-program, available > from http://fuzzy.cs.uni-magdeburg.de/~borgelt/#Software)?Not that I know of, but all Borgelt's stuff is GPL and the i/o and options of "apriori" appear to be simple to adapt to R. -- O__ ---- Peter Dalgaard Blegdamsvej 3 c/ /'_ --- Dept. of Biostatistics 2200 Cph. N (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk) FAX: (+45) 35327907 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
Ko-Kang Kevin Wang
2002-Jun-12 21:00 UTC
Data Mining (was: Re: [R] data mining: finding association rules)
Slightly off topic here...but you might want to try WEKA, http://www.cs.waikato.ac.nz/~ml/ It is written in Java, and a free open-sourced software under GPL. I found it very efficient and stable, and very useful too as it's got "many" classification rules, some (three, I think) clustering rules and one association rule (Apriori). Would be interesting if it can be linked with R... Cheers, Ko-Kang Wang ------------------------------------------------ Ko-Kang Kevin Wang Post Graduate PGDipSci Student Department of Statistics University of Auckland New Zealand www.stat.auckand.ac.nz/~kwan022 ----- Original Message ----- From: "RINNER Heinrich" <H.RINNER at tirol.gv.at> To: <r-help at stat.math.ethz.ch> Sent: Thursday, June 13, 2002 3:25 AM Subject: [R] data mining: finding association rules> Dear R-users! > > I would like to search for "association rules" (and compute support and > confidence, for example) in a data set, and wonder if this can be donewith> R (version 1.5.0 for Windows)? > > Particulary, I wonder if > a) anyone has done something like that with R > or > b)maybe someone has written an R-interface to some existing > algorithm/software (e.g. to something like the "apriori"-program,available> from http://fuzzy.cs.uni-magdeburg.de/~borgelt/#Software)? > > -Heinrich Rinner. > -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-> r-help mailing list -- Readhttp://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html> Send "info", "help", or "[un]subscribe" > (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch >_._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._. _._>-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._