Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Demetrovics Janos"'
Publikováno v:
Cybernetics and Information Technologies, Vol 13, Iss 4, Pp 118-126 (2013)
In rough set theory, the number of all reducts for a given decision table can be exponential with respect to the number of attributes. This paper investigates the problem of determining the set of all reductive attributes which are present in at leas
Externí odkaz:
https://doaj.org/article/1b4f9ae096894c78928582fcafaee8de
Publikováno v:
Serdica Journal of Computing. 14:27-41
Over recent years, the research of attribute reduction for general decision systems and, in particular, for consistent decision tables has attracted great attention from the computer science community due to the emerge of big data. It has been known
Publikováno v:
Cybernetics and Information Technologies. 21:3-9
Reduct of decision systems is the topic that has been attracting the interest of many researchers in data mining and machine learning for more than two decades. So far, many algorithms for finding reduct of decision systems by rough set theory have b
Publikováno v:
Cybernetics and Information Technologies. 19:3-16
Mining High Utility Sequential Patterns (HUSP) is an emerging topic in data mining which attracts many researchers. The HUSP mining algorithms can extract sequential patterns having high utility (importance) in a quantitative sequence database. In re
Publikováno v:
Serdica Journal of Computing; 2022, Vol. 16 Issue 1, p24-38, 15p
Publikováno v:
Cybernetics and Information Technologies. 16:13-28
According to traditional rough set theory approach, attribute reduction methods are performed on the decision tables with the discretized value domain, which are decision tables obtained by discretized data methods. In recent years, researches have p
Publikováno v:
Cybernetics and Information Technologies. 16:3-15
Feature selection is a vital problem which needs to be effectively solved in knowledge discovery in databases and pattern recognition due to two basic reasons: minimizing costs and accurately classifying data. Feature selection using rough set theory
Publikováno v:
Serdica Journal of Computing. 9:105-122
Sequential pattern mining is an important subject in data mining with broad applications in many different areas. However, previous sequential mining algorithms mostly aimed to calculate the number of occurrences (the support) without regard to the d
In fuzzy granular computing, a fuzzy granular structure is the collection offuzzy information granules and fuzzy information granularity is used to measure the granulation degree of a fuzzy granular structure.In general, the fuzzy information granula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d144a3b007cf97d55c123476fbae4caa
https://hdl.handle.net/10525/2912
https://hdl.handle.net/10525/2912
Publikováno v:
Cybernetics and Information Technologies. 14:3-10
The problem of finding reducts plays an important role in processing information on decision tables. The objective of the attribute reduction problem is to reject a redundant attribute in order to find a core attribute for data processing. The attrib