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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:
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
Information modeling and knowledge bases are important technologies for academic and industrial research that goes beyond the traditional borders of information systems and computer science. The amount and complexity of information to be dealt with g
Information modeling and knowledge bases have become an important area of academic and industry research in the 21st century, addressing complexities of modeling that reach beyond the traditional borders of information systems and academic computer s