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An Investigation into the use of a Neural Tree Classifier for Knowledge Discovery in OLAP databases Antoine Schmitt selfish and abusive behavior createModern OLAP platforms are capable of creating databases terabytes in size and present a significant challenge to the analyst with the goal of knowledge discovery. Artificial neural networks represent an aspect of machine learning that offers promise in this area. A neural map can learn to identify patterns in data of high dimensionality and a specific type of neural map, a neural tree classifier, can provide a hierarchical classification of the