From 0450dc05686672db1d0d3a16b0e8b0e5d38083c4 Mon Sep 17 00:00:00 2001 From: Peter Reutemann Date: Fri, 20 Dec 2024 09:51:05 +1300 Subject: [PATCH] updated link to mailing list, removed Eibe's ecosystem PDF, updated PMML link --- docs/documentation.md | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/docs/documentation.md b/docs/documentation.md index 60b28b65..c3759c96 100644 --- a/docs/documentation.md +++ b/docs/documentation.md @@ -23,13 +23,16 @@ with information on Weka is provided below. * The videos and slides for the online courses on [Data Mining with Weka](https://ml.cms.waikato.ac.nz/weka/mooc/dataminingwithweka/), [More Data Mining with Weka](https://ml.cms.waikato.ac.nz/weka/mooc/moredataminingwithweka/), and [Advanced Data Mining with Weka](https://ml.cms.waikato.ac.nz/weka/mooc/advanceddataminingwithweka/). + # Weka packages * There is a [list of packages](https://weka.sourceforge.io/packageMetaData/) for Weka that can be installed using the built-in package manager. Javadoc for a package is available at https://weka.sourceforge.io/doc.packages/ followed by the name of the package. + # Mailing list archive -* The [Weka mailing list](https://list.waikato.ac.nz/hyperkitty/list/wekalist@list.waikato.ac.nz/) is a very helpful source of information, spanning more than 15 years of questions and answers on Weka. +* The [Weka mailing list](https://sourceforge.net/projects/weka/lists/weka-users) is a very helpful source of information, spanning more than 15 years of questions and answers on Weka. + # Blogs @@ -37,10 +40,9 @@ with information on Weka is provided below. * There is also [Mark Hall's blog](https://markahall.blogspot.co.nz/) with a lot of useful information on several important Weka packages in particular. -# Other sources of information -* Weka can be used from several other software systems for data science, and there is a set of slides on [WEKA in the Ecosystem for Scientific Computing](https://www.cs.waikato.ac.nz/~eibe/WEKA_Ecosystem.pdf) covering Octave/Matlab, R, Python, and Hadoop. +# Other sources of information -* A page with [with news and documentation on Weka's support for importing PMML models](https://wiki.pentaho.com/display/DATAMINING/PMML+Support+in+Weka). +* A page [with news and documentation on Weka's support for importing PMML models](https://pentaho-public.atlassian.net/wiki/spaces/DATAMINING/pages/281411566/PMML+Support+in+Weka). * A short tutorial on [connecting Weka to MongoDB using a JDBC driver](https://github.com/selvinsource/mongodb-datamining-shell/wiki/Weka-MongoDB).