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 <[EMAIL PROTECTED]> 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 <[EMAIL PROTECTED]> 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]] > > > > ______________________________________________ > > [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 > > 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]] ______________________________________________ [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 and provide commented, minimal, self-contained, reproducible code.
