Multivariate data analysis: quo vadis? : II. Levels of data-modelling objectives and possibilities

✍ Scribed by Agnar Höskuldsson; Kim H. Esbensen

• Publisher: John Wiley and Sons
• Year: 2003
• Tongue: English
• Weight: 145 KB
• Volume: 17
• Category: Article
• ISSN: 0886-9383
• DOI: 10.1002/cem.788

✦ Synopsis

Abstract

In part I we presented an analysis of the situation facing multivariate data analysis at the turn of the
millenium. As a direct analogy to object‐oriented programming we presented similar
ideas for multivariate data analysis, resulting in a proposal for a new paradigm for
object‐oriented data modelling (OODM), which is invariant w.r.t. data
structures and practical data contexts. In this part II we give a first overview of tomorrow's
meta‐principles, ideas and stimulants for the implementation of multivariate OODM. This is
exemplified by analysing the typical objectives behind data modelling, and we give numerous
suggestions for what may be important development areas for the near future. We have
arranged the many disparate data analysis objectives in a series of ‘levels of modelling’
in an attempt to make a systematic categorization. Copyright © 2003 John Wiley & Sons,
Ltd.