An Extended Neural Gas Model for Efficient Data Mining Tasks

This paper presents a numerical association rule extraction method that is based on original quality measures which evaluate to what extent a numerical classification model behaves as a natural symbolic classifier such as a Galois lattice. The proposed method copes with the usual problems of the symbolic association rule extraction method that are computation time and rule selection.

• Type: Conference
• Year: 2007
• Where: FLAIRS
• Authors: Jean-Charles Lamirel, Shadi Al Shehabi
• Keywords: Artificial Intelligence, Association Rule Extraction, FLAIRS 2007, Numerical Association Rule, Rule Extraction Method