Inny tytuł:

Książka = Book ; KS/2/1992/R12

Wydawca:

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

Miejsce wydania:

Warszawa

Opis:

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

Typ obiektu:

Book/Chapter

Abstrakt:

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.

Czasopismo/Seria/cykl:

Książka = Book

Szczegółowy typ zasobu:

Book

Identyfikator zasobu:

oai:rcin.org.pl:197771

Źródło:

KS-1992-02-R12

Język:

eng

Język streszczenia:

eng

Prawa:

Creative Commons Attribution BY 4.0 license

Zasady wykorzystania:

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: ; -

Digitalizacja:

Systems Research Institute of the Polish Academy of Sciences

Lokalizacja oryginału:

Library of Systems Research Institute PAS

Dofinansowane ze środków:

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.

Dostęp:

Open