An Investigation into the Use of a Neural Tree Classifier for Knowledge Discovery in OLAP Databases (ePub)
(Sprache: Englisch)
Modern 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...
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Modern 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 patterns identified. The investigation begins with a comparison of two neural tree classifiers and continues by illustrating how their application can allow the identification of multi-dimensional areas of analytical interest in an OLAP database. Finally, a novel OLAP exception "explain" technique is outlined, enabled through the use of a neural tree classifier in conjunction with discovery-driven exploration.
Bibliographische Angaben
- Autor: David R Swinburne
- 2011, Englisch
- Verlag: Lulu.com
- ISBN-10: 1447686284
- ISBN-13: 9781447686286
- Erscheinungsdatum: 03.05.2011
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eBook Informationen
- Dateiformat: ePub
- Größe: 7.90 MB
- Ohne Kopierschutz
Sprache:
Englisch
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