Info-Fuzzy Network (IFN)
The Info-Fuzzy Network (IFN) is a software tool for
automated knowledge discovery in real-world databases. IFN is based on the information-theoretic
fuzzy approach to data mining and knowledge discovery, developed by
Prof. Mark Last (
The key features of the Info-Fuzzy Network include:
· Data Pre-processing
· Discretization of continuous attributes
· Feature selection (identifying the most important features)
· Data Mining
· Extraction of input-target associations
· Single-target and multi-target classification and prediction
· Online data mining
· Post Processing
· Rule evaluation (sorting out the most informative associations)
· Rule fuzzification and reduction (converting the associations into a compact set of linguistic rules)
· Data quality assurance (detecting unreliable data)
Please send your
questions and comments to Prof
Last updated: Wednesday, August 11, 2004