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...With version 2.0, the source code has been cleanly split into an application-oriented user library and a time-critical stack driver. The latter may be moved to a dedicated communication processor or into a kernel module to deliver enhanced performance while still keeping the API in user space.
A full documentation of the stack is available on the web site:
http://openpowerlink.sourceforge.net
The following page can be used to report a security vulnerability:
https://sourceforge.net/p/openpowerlink/discussion/
Non-disjoint groupping of Documents based on word sequence approach
This is a GUI for learning non disjoint groups of documents based on Weka machine learning framework. It offers the possibility to make non disjoint
clustering of documents using both vectorial and sequential representation (word sequence approach based on WSK kernel). All data format supported
by WEKA could be used in DocCO. Data could be loaded from files, from
databases or from specified URL. All the preprocessing techniques implemented in
WEKA could be used before performing the learning.