Sankar K. Pal
Soft computing methods
for data mining.
Two examples, demonstrating such integration of fuzzy sets, artificial neural networks, genetic algorithms and rough sets for (i) efficient classification, rule generation and rule evaluation, and (ii) granular case generation in case based reasoning problems, are provided along with their application specific merits. Different features of these methodologies are extensively demonstrated along with comparisons on different real life data sets.
The talk concludes explaining the relation of rough-fuzzy computing with computational theory of perceptions (CTP), challenges of data mining and the future scope of research in bioinformatics and web mining.