>>>>> "Vadim" == Vadim Ogranovich <[EMAIL PROTECTED]> >>>>> on Thu, 14 Oct 2004 10:50:08 -0700 writes:
Vadim> I thought that maybe authors of books on R should be Vadim> allowed (encouraged ?) to announce Vadim> availability/revisions of their books via the Vadim> R-packages list? Well, most good *) books on R nowadays have a (usually small) R package going along, for datasets and some own functions. *) One notable current exception: Uwe Ligges book __in German__ >> http://www.statistik.uni-dortmund.de/~ligges/PmitR/ But maybe he'll change that too. Vadim> For example I'd be very interested to have another Vadim> look at Dr. Torgo's book when it becomes more Vadim> complete and I'd appreciate a revision notice via the list. Hmm, I'm really reluctant to change the 'R-packages' policy, particularly because it won't be necessary in general (see above). Further note that we have the 'R Newsletter' with book reviews, too. Further comments are welcome. Martin Maechler Vadim> Thanks, Vadim >> -----Original Message----- >> From: [EMAIL PROTECTED] >> [mailto:[EMAIL PROTECTED] On Behalf Of Luis Torgo >> Sent: Wednesday, October 13, 2004 12:03 PM >> To: Prof Brian Ripley >> Cc: Vito Ricci; [EMAIL PROTECTED] >> Subject: Re: [R] Statistical analysis of a large database >> >> On Tue, 2004-10-12 at 08:36, Prof Brian Ripley wrote: >> > > Luís Torgo, Data Mining with R. Learning by case studies, Maggio >> > > 2003 http://www.liacc.up.pt/~ltorgo/DataMiningWithR/ >> > >> > Please note that that reference is not about large >> datasets, nor about >> > `data mining' in the generally used sense. It has two studies, one >> > incomplete, on linear regression (with 200 samples) and on >> time series. >> >> I would like to add a few information on these incomplete >> comments on the book I'm writing. The book is unfinished as >> mentioned on its Web page. It has currently two reasonably >> finished chapters: an introduction to R and MySQL and a case >> study. As mentioned in the book, the first case study is >> small by data mining standards (200 observations) and has the >> goal of illustrating techniques that are shared by data >> mining and other disciplines as well as smoothly introducing >> the reader to R and its power. It addresses data >> pre-processing techniques, data visualization, model >> construction (yes, linear regression but also regression >> trees), and model evaluation, selection and combination, so I >> think it is a bit incorrect to say that it is about linear >> regression that corresponds to 5 of the 50 pages of that chapter. >> >> The third (unfinished) chapter (2nd case study) is about >> financial trading. It includes topics like connections to >> data bases as well as many other components of a knowledge >> discovery process. Among those components it includes model >> construction that involves obviously time series models given >> the nature of the data. The chapter will include other steps >> like issues concerning moving from predictions into actions, >> creation of variables from the original time series, etc.. It >> is currently being re-written and I expect to upload soon a >> new revised version of this chapter. >> >> The book will include at least two further cases studies that >> will be larger. Still, I would note that the financial >> trading case study is potentially very large, as it is a >> problem where data is constantly growing. The final version >> of that chapter addresses this issue of having a system that >> is online in the sense that it is receiving new data in real >> time (also known as mining data streams in the data mining field). >> >> I'm sorry for being so long, but I think it is dangerous to >> try to resume around 200 pages of an unfinished work in two >> lines of text. >> >> Still, all comments on this on going project are very well >> welcome and I would like to take this opportunity to thank >> all people that have been sending me encouraging comments/emails. >> >> Luis Torgo >> >> -- >> Luis Torgo >> FEP/LIACC, University of Porto Phone : (+351) 22 607 88 30 >> Machine Learning Group Fax : (+351) 22 600 36 54 >> R. Campo Alegre, 823 email : [EMAIL PROTECTED] >> 4150 PORTO - PORTUGAL WWW : >> http://www.liacc.up.pt/~ltorgo >> >> ______________________________________________ >> [EMAIL PROTECTED] mailing list >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide! >> http://www.R-project.org/posting-guide.html >> Vadim> ______________________________________________ Vadim> [EMAIL PROTECTED] mailing list Vadim> https://stat.ethz.ch/mailman/listinfo/r-help Vadim> PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html ______________________________________________ [EMAIL PROTECTED] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html