Data Mining with Neuro-Fuzzy Models
Aljoscha Klose, Andreas Nürnberger, Detlef D. Nauck, Rudolf Kruse · Studies in fuzziness and soft computing · 2001
Data mining is the central step in a process called knowledge discovery in databases, namely the step in which modeling techniques are applied. Several research areas such as statistics, artificial intelligence, machine learning, and soft computing have contributed to the arsenal of methods for data mining. In this paper, however, we focus on neuro-fuzzy methods for rule learning. In our opinion, fuzzy approaches can play an important role in data mining, because they provide comprehensible results. This goal often seems to be neglected — possibly because comprehensibility is sometimes hard to achieve with other methods.