I thought that maybe authors of books on R should be allowed (encouraged ?) to
announce availability/revisions of their books via the R-packages list?
For example I'd be very interested to have another look at Dr. Torgo's
book when it becomes more complete and I'd appreciate a revision notice via
the list.
Just a suggestion. Thanks, Vadim
> -----Original Message-----
> From: r-help-bounces at stat.math.ethz.ch
> [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Luis Torgo
> Sent: Wednesday, October 13, 2004 12:03 PM
> To: Prof Brian Ripley
> Cc: Vito Ricci; r-help at stat.math.ethz.ch
> Subject: Re: [R] Statistical analysis of a large database
>
> On Tue, 2004-10-12 at 08:36, Prof Brian Ripley wrote:
> > > Lu??s Torgo, Data Mining with R. Learning by case studies, Maggio
> > > 2003 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 : ltorgo at liacc.up.pt
> 4150 PORTO - PORTUGAL WWW :
> liacc.up.pt/~ltorgo
>
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