IEEJ Transactions on Electronics, Information and Systems
Online ISSN : 1348-8155
Print ISSN : 0385-4221
ISSN-L : 0385-4221
SOM an approach to Data Mining of Power Transformer Database
Obu-Cann KwawFujimura KikuoTokutaka HeizoOhkita MasaakiInui Masahiro
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2001 Volume 121 Issue 6 Pages 1126-1132

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Abstract
Data mining is part of a larger area of recent research in Artificial Intelligence and Information Processing and Management otherwise known as Knowledge Discovery in Database (KDD). The main aim here is to identify new information or knowledge from database in which the dimensionality or amount of data is so large that it is beyond human comprehension. Self-Organising Map is used to analyse power transformer database from one of the electric energy providers in Japan. Furthermore, the regression aspect of SOM is also tested. Regression is achieved by searching for the Best Matching Unit (BMU) using the known vector components.
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© The Institute of Electrical Engineers of Japan
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