Analysis of Gallup Data
through the Neural Data Analysis Environment

Anssi Lensu and Pasi Koikkalainen
University of Jyväskylä
Department of Mathematics
P.O.Box 35, FIN-40351 Jyväskylä, Finland

Abstract:

Many gallups are made in different fields of society and they all result in vast amounts of complex data. The purpose of this paper is to present how this kind of data can be analyzed with neural networks in order to find proper interpretations for it.

• Introduction
• Open Problems and Some Solutions to Them
  • Methodological Problems
  • Missing Data
• The Analysis Method
  • The Self-Organizing Map
  • Data Preprosessing Requirements
  • Fuzzification and Other Data Manipulations
  • A Combined Interactive System
  • The Data Analysis Procedure
• Case Example
  • The Data
    • The Actual Fields
    • Preprosessing
  • Analyses
• Conclusions
• References
• About this document ...

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