Neural networks
This chapter elaborates on the connections and interdisciplinary links between knowledge discovery in databases (KDD) and neural networks and neurocomputing, in general, and identifies a number of basic categories of synergistic links existing therein.
Abstract
This chapter elaborates on the connections and interdisciplinary links between knowledge discovery in databases (KDD) and neural networks and neurocomputing, in general. We identify a number of basic categories of synergistic links existing therein. We show that data mining can benefit from the learning abilities of neural networks. Similarly, there are ways in which data mining can augment the research agenda of neurocomputing by drawing attention to the issues of processing large data sets and identifying possible ways of learning enhancement through data granulation. The aspect of increased transparency of neural networks is another essential topic promoted by KDD.