Subtitle:

Książka = Book ; KS/2/1992/R12

Publisher:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Place of publishing:

Warszawa

Description:

83-102 pages ; 21 cm ; Bibliography p. 102

Type of object:

Book/Chapter

Abstract:

The main aim of the symbolic approach in data analysis is to extend problems, methods and algorithms used on classical data to more complex data called "symbolic objects" which are well adapted to representing knowledge and which can "unify" unlike usual observations which characterize "individual things" . We focus herc on boolean and probabilist objects and we briefly present some of their qualities and roperties. We finally develop in the context of symbolic analysis of a classical data table, a factorial axis characterisation as a probabilist object; it completes the usual vectorial representation which is not so explicit for the standard user. We particularly show the application of learning algorithms to explain multiple correspondence analysis axis which are so useful for enquiry treatments.

Relation:

Książka = Book

Detailed Resource Type:

Book

Resource Identifier:

oai:rcin.org.pl:197771

Source:

KS-1992-02-R12

Language:

eng

Language of abstract:

eng

Rights:

Creative Commons Attribution BY 4.0 license

Terms of use:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitizing institution:

Systems Research Institute of the Polish Academy of Sciences

Original in:

Library of Systems Research Institute PAS

Projects co-financed by:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

Access:

Open