Hi Gérald, I can't help you directly, but you haven't yet had a reply, so...
Googling, as you have found, will waste your time if you know more that you Google for. Clementine's quite unusual --- in the field of statistical methods --- so target that. Take the main Stats methods journals and search them; or try something like CiteSeer: http://citeseer.ist.psu.edu/cis?q=clementine&cs=1 Motto: Always write it down, even if that's all you...end up spending your time doing. Hope this helps, Regards, Mark. gerald.jean wrote: > > Hello there, apologies for cross-posting > > my question is not an S/R question but there is so much knowledge > concentrated in those lists that I thought someone could point me in the > right direction. > > A few months ago I read an article in a referenced journal comparing some > data mining programs, among which there was Insightful's I Miner, SAS' > Entreprise Miner, SPSS' Clementine (I think) and a few others. > Unfortunately I can't remember in which journal was the article published > or who was the author? I have been Googling a lot to try to locate the > article but to no avail! Would someone know who published the article and > in which journal? By the way, any serious, published comparisons of data > mining programs would be welcomed as the company I work for is planning to > add a data mining program to our tool box soon. > > Thanks for any leads, > > Gérald Jean > Conseiller senior en statistiques, Actuariat > télephone : (418) 835-4900 poste (7639) > télecopieur : (418) 835-6657 > courrier électronique: [EMAIL PROTECTED] > > "In God we trust, all others must bring data" W. Edwards Deming > > Le message ci-dessus, ainsi que les documents l'accompagnant, sont > destinés > uniquement aux personnes identifiées et peuvent contenir des informations > privilégiées, confidentielles ou ne pouvant être divulguées. Si vous avez > reçu ce message par erreur, veuillez le détruire. > > This communication (and/or the attachments) is intended for named > recipients only and may contain privileged or confidential information > which is not to be disclosed. If you received this communication by > mistake > please destroy all copies. > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > > -- View this message in context: http://www.nabble.com/Data-mining-tools-tf4193959.html#a11935911 Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
