Dear David: Thank you very much
abou ______________________ *AbouEl-Makarim Aboueissa, PhD* *Professor of Statistics* *Department of Mathematics and Statistics* *University of Southern Maine* On Tue, Aug 21, 2018 at 12:07 PM David L Carlson <dcarl...@tamu.edu> wrote: > There are some materials at > > https://www-users.cs.umn.edu/~kumar001/dmbook/index.php > > Michael Hahsler has code examples at > > https://mhahsler.github.io/Introduction_to_Data_Mining_R_Examples/ > https://github.com/mhahsler/Introduction_to_Data_Mining_R_Examples > > > David L. Carlson > Department of Anthropology > Texas A&M University > > -----Original Message----- > From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of > AbouEl-Makarim Aboueissa > Sent: Tuesday, August 21, 2018 10:48 AM > To: R mailing list <r-help@r-project.org> > Subject: [R] R Codes for Introduction to Data Mining > > Dear All: good morning > > > I am going to teach a course title "Introduction to Statistical Data > Mining", and I am using the book titled "*Introduction to Data Mining > (Second Edition)*" by Kumar and etal. > > I am wondering if someone have R codes/functions for examples and exercises > given in this textbook. > > I thank you all in advance. > > > with many thanks > abou > ______________________ > > > *AbouEl-Makarim Aboueissa, PhD* > > *Professor of Statistics* > > *Department of Mathematics and Statistics* > *University of Southern Maine* > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
