Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Miroslav Pajr"'
Improvement of Searching for Appropriate Textual Information Sources Using Association Rules and FCA
This paper deals with an optimization of methods for recommending relevant text sources. We summarize methods that are based on a theory of Association Rules and Formal Conceptual Analysis which are computationally demanding. Therefore we are applyin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::190038ca450c27bf0f4b92c8d92f0318
https://doi.org/10.3233/faia210487
https://doi.org/10.3233/faia210487
Publikováno v:
EJC
In this paper, we deal with the support in the search for appropriate textual sources. Users ask for an atomic concept that is explicated using machine learning methods applied to different textual sources. Next, we deal with the so-obtained explicat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23c604d0bbe3663c4d1eed366f17e009
https://doi.org/10.3233/faia200832
https://doi.org/10.3233/faia200832
Publikováno v:
2019 IEEE 15th International Scientific Conference on Informatics.
In this paper we deal with the problem of seeking relevant information sources selected from scientific or other electronic publications. In the era of information surfeit, it is getting more and more difficult to extract relevant and reliable source
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::698e402fd3f4e7527d0a2b3284c90de5
https://doi.org/10.1109/informatics47936.2019.9119332
https://doi.org/10.1109/informatics47936.2019.9119332
Publikováno v:
Computación y Sistemas. 23
DOI nefunkční (25.11.2019) In this paper we deal with machine learning methods and algorithms applied in learning simple concepts by their refining or explication. The method of refining a simple concept of an object O consists in discovering a mol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fca9f0511ef4d25739221ca8b644389
https://doi.org/10.13053/cys-23-3-3242
https://doi.org/10.13053/cys-23-3-3242