Data mining and knowledge discovery (DM & KD) relies on an interdisciplinary umbrella of tools including paradigms related to statistics, machine learning, neural networks, fuzzy logic, and visualization techniques. Neural networks can contribute significantly to enhance the quality and understanding of a DM & KD task. This paper will give an overview of neural network techniques for data mining and point out their inherent advantages, weaknesses, and network links to interact with other data mining paradigms.

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1996-1997 Mathematics in High Performance Computing