Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Janusz Kacprzyk"'
Autor:
Janusz Kacprzyk, Sławomir Zadrożny
Publikováno v:
Do Smart Adaptive Systems Exist? ISBN: 9783540240778
In this chapter we have presented an interactive, fuzzy logic based approach to the linguistic summarization of databases, and have advocated it as a means to obtain human consistent summaries of (large) sets of data. Such “raw” sets of data are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::313b5509c87a37f6e751aec1e4b926ef
https://doi.org/10.1007/3-540-32374-0_16
https://doi.org/10.1007/3-540-32374-0_16
Publikováno v:
FUZZ-IEEE
This paper, is a further development of a combined fuzzy querying and data mining paradigm. The point of departure is the FQUERY for Access. Its earlier version offered the generation of fuzzy association rules within the fuzzy querying interface. We
Autor:
Sławomir Zadrożny, Janusz Kacprzyk
Publikováno v:
Recent Issues on Fuzzy Databases ISBN: 9783790824766
In this contribution we discuss how a fuzzy querying interface can support the generation of linguistic database summaries - a special technique of data mining. Links between our approach to linguistic summaries and the well-known technique of associ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cff02c5b6f69e9ac3b453d06159a5d1e
https://doi.org/10.1007/978-3-7908-1845-1_4
https://doi.org/10.1007/978-3-7908-1845-1_4
Autor:
Jean-Charles Lamirel, Shadi Al Shehabi
Publikováno v:
International Conference on Artificial Neural Networks-ICANN 2005
International Conference on Artificial Neural Networks-ICANN 2005, Sep 2005, Warsaw/Poland, pp.479--484, ⟨10.1007/11550907_75⟩
Lecture Notes in Computer Science ISBN: 9783540287551
ICANN (2)
International Conference on Artificial Neural Networks-ICANN 2005, Sep 2005, Warsaw/Poland, pp.479--484, ⟨10.1007/11550907_75⟩
Lecture Notes in Computer Science ISBN: 9783540287551
ICANN (2)
This paper presents a new approach whose aim is to extent the scope of numerical models by providing them with knowledge extraction capabilities. The basic model which is considered in this paper is a multi-topographic neural network model. One of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70d86452f6db838dbd24c8b1e8360e85
https://hal.inria.fr/inria-00000841
https://hal.inria.fr/inria-00000841