Package: wnpp
Severity: wishlist
* Package name: yale
Version : 3.4
Upstream Author : Ingo Mierswa et al.
* URL : http://rapid-i.com/
* License : GPL
Programming Lang: Java
Description : environment for rapid prototyping of data mining
applications
YALE (Yet Another Learning Environment) is a flexible open-source
tool for knowledge discovery, machine learning experiments, and data
mining applications. Experiments can be made up of a large number of
arbitrarily nestable operators and their setup is described by XML
files which can easily be created with a graphical user
interface. Applications of YALE cover both research and real-world
data mining tasks.
.
A modular operator concept allows the design of complex nested
operator chains for a huge number of learning problems. The data
handling is transparent to the operators. They do not have to cope
with the actual data format or different data views - the YALE core
takes care of the necessary transformations. YALE is widely used by
researchers and in industry.
.
Use YALE and explore your data! Simplify the construction of
experiments and the evaluation of different approaches. Try to find
the best combination of preprocessing and learning steps or let YALE
do that automatically for you. The graphical user interface and the
XML based scripting language turn YALE into an integrated development
environment (IDE) for machine learning and data mining. Furthermore,
this concept defines a standardized interchange format for data mining
experiments.
There is already a package called yale in Debian, so either one will
need a new name.
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