A new method for analysing downloaded data for strategic decision

Ch. Huot; L. Quoniam; H. Dou

doi:10.1007/bf02028086

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Scientometrics

Volume/Issue:: Volume 25: Issue 2

A new method for analysing downloaded data for strategic decision

Authors:

Ch. Huot

Ch. Huot IBM CEMAP (Centre Européen de Mathematiques Appliquées) 68-76 quai de la rapée 75592 Paris CEDEX 12 (France) 68-76 quai de la rapée 75592 Paris CEDEX 12 (France)

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L. Quoniam

L. Quoniam CRRM Faculte de St Jérome 13397 Marseille CEDEX 13 (France) 13397 Marseille CEDEX 13 (France)

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H. Dou

H. Dou CRRM Faculte de St Jérome 13397 Marseille CEDEX 13 (France) 13397 Marseille CEDEX 13 (France)

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Pages:: 279–294

Online Publication Date:: 13 Aug 2005

Publication Date:: 26 Oct 1992

Article Category:: Research Article

DOI:: https://doi.org/10.1007/bf02028086

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Abstract

Technology assessment survey is nowadays a specific and scientific subject that any manufacture needs for increasing productivity. This function was initially reserved to experts of the studied field. But the increase of information volume has called for a change. Now, we need specialists of technology assessment survey which know about sophisticated methods to extract strategic information from downloaded data. We will explain how to build strategic information. We present here a new and original method of data analysis. This Factorial Relational Analysis is born after 15 years of IBM France mathematics research center works on qualitative data analysis. The method is based on Relational Analysis. The particularity of this method is to work with sparse matrices and to obtain the best classification without anya priori fixation of number of classes. Relational Analysis is used in other sectors than the analysis of matrices issued from downloaded data. For example it is also used in computational lexicography or in credit scoring or in any domain where classification is concerned. Here we choose to present an example of an application in patent analysis.

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Scientometrics

Print ISSN:: 0138-9130

Online ISSN:: 1588-2861

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Scientometrics
Language	English
Size	B5
Year of Foundation	1978
Volumes per Year	1
Issues per Year	12
Founder	Akadémiai Kiadó
Founder's Address	H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Publisher	Akadémiai Kiadó Springer Nature Switzerland AG
Publisher's Address	H-1117 Budapest, Hungary 1516 Budapest, PO Box 245. CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible Publisher	Chief Executive Officer, Akadémiai Kiadó
ISSN	0138-9130 (Print)
ISSN	1588-2861 (Online)