NPoss - Naive Possibilistic Classifier Induction

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Note: The table package contains some auxiliary programs for preprocessing the data files.

Description

NPoss is a set of programs to induce a naive possibilistic classifier (a possibilistic analog of the naive Bayes classifier) and to classify new data with an induced naive possibilistic classifier.

If you have trouble executing the programs on Microsoft Windows, check whether you have the Microsoft Visual C++ Redistributable for Visual Studio 2022 (see under "Other Tools and Frameworks") installed, as the programs were compiled with Microsoft Visual Studio 2022.

A description of the idea underlying this classifier can be found in:

• Graphical Models - Representations for Learning, Reasoning and Data Mining (2nd Edition)
  Christian Borgelt, Matthias Steinbrecher, and Rudolf Kruse
  J. Wiley and Sons, Chichester, United Kingdom 2009, ISBN 978-0-470-72219-7
• Graphical Models - Methods for Data Analysis and Mining
  Christian Borgelt and Rudolf Kruse.
  J. Wiley and Sons, Chichester, United Kingdom 2002, ISBN 0-470-84337-3
• A Naive Bayes Style Possibilistic Classifier.
  Christian Borgelt and Jörg Gebhardt.
  Proc. 7th European Congress on Intelligent Techniques and Soft Computing
  (EUFIT'99, Aachen, Germany), on CDROM.
  Verlag Mainz, Aachen, Germany 1999
  eufit_99.pdf (146 kb) eufit_99.ps.gz (118 kb) (6 pages)