Som+eof for Finding Missing Values
Abstract
In This Paper, a New Method for the Determination of Missing Values in Temporal Databases is Presented. This New Method is based on Two Projection Methods: A Nonlinear One (Self-Organized Maps) and a Linear One (Empirical Orthogonal Functions). the Global Methodology that is Presented Combines the Advantages of Both Methods to Get Accurate Candidates for Missing Values. an Application of the Determination of Missing Values for Fund Return Database is Presented.
Recommended Citation
A. Sorjamaa et al., "Som+eof for Finding Missing Values," ESANN 2007 Proceedings - 15th European Symposium on Artificial Neural Networks, pp. 115 - 120, European Symposium on Artificial Neural Networks, Dec 2007.
Department(s)
Engineering Management and Systems Engineering
International Standard Book Number (ISBN)
978-293030709-1
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 European Symposium on Artificial Neural Networks, All rights reserved.
Publication Date
01 Dec 2007
