From the release notice:
We have just released KNIME v2.4, a feature release with a lot of new functionality and some bug fixes. The highlights of this release are:
- Enhancements around meta node handling (collapse/expand & custom dialogs)
- Usability improvements (e.g. auto-layout, fast node insertion by double-click)
- Polished loop execution (e.g. parallel loop execution available from labs)
- Better PMML processing (added PMML preprocessing, which will also be presented at this year's KDD conference)
- Many new nodes, including a whole suite of XML processing nodes, cross-tabulation and nodes for data preprocessing and data mining, including ensemble learning methods.
In case you aren’t familiar with KNIME, it is self-described as:
KNIME (Konstanz Information Miner) is a user-friendly and comprehensive open-source data integration, processing, analysis, and exploration platform. From day one, KNIME has been developed using rigorous software engineering practices and is currently being used actively by over 6,000 professionals all over the world, in both industry and academia.
What would you do the same/differently for a topic map interface?