Hi again,
The idea of preprocessing is mainly based on the need to prepare the data
before they are actually used in pattern extraction.or feed the data
into EA's (Genetic Algorithm) There are no standard practice yet however,
the frequently used on are

1. the extraction of derived attributes that is quantities that accompany
but not directly related to the data patterns and may prove meaningful or
increase the understanding of the patterns

2. the removal of some existing attributes that should be of no concern to
the mining process and its insignificance

So i looking for a package that can do this two above mentioned points....

Initially i would like to visualize the data into pattern and understand the
patterns.


Thanks in Advance,

JJ
----


On 2/28/07, Wensui Liu <liuwensui@gmail.com> wrote:
>
> what do you mean by data preprocessing? there are tons of R functions
> that you can use to process data and do data mining.
>
> On 2/27/07, j.joshua thomas <researchjj@gmail.com> wrote:
> > Dear Group,
> >
> > I am looking for a package that is going to help me on Data
> preprocessing
> > methods in Datamining.
> >
> > Is there any package in R2.4.0 to support DM? or what is the suitable
> > package that i can adopt do the work?
> >
> > Kindly need your assistance.
> >
> > Thanks & Regards
> >
> >
> >
> >
> > JJ
> > ---
> >
> > --
> > Lecturer J. Joshua Thomas
> > KDU College Penang Campus
> > Research Student,
> > University Sains Malaysia
> >
> >         [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > 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.
> >
>
>
> --
> WenSui Liu
> A lousy statistician who happens to know a little programming
> (http://spaces.msn.com/statcompute/blog)
>



-- 
Lecturer J. Joshua Thomas
KDU College Penang Campus
Research Student,
University Sains Malaysia

	[[alternative HTML version deleted]]

