[R] Statistical analysis of a large database

[Vadim Ogranovich]

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:
> > > 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 : ltorgo at liacc.up.pt
>   4150 PORTO   -  PORTUGAL         WWW   : 
> http://www.liacc.up.pt/~ltorgo
> 
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