Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Krzysztof Żabiński"'
Autor:
Krzysztof Żabiński, Beata Zielosko
Publikováno v:
Entropy, Vol 25, Iss 1, p 91 (2023)
In this article, we present a modification of the algorithm based on EAV (entity–attribute–value) model, for induction of decision rules, utilizing novel approach for attribute ranking. The selection of attributes used as premises of decision rul
Externí odkaz:
https://doaj.org/article/21fe4ec87df44ae3a6ac0c4e20fadb7f
Autor:
Krzysztof Żabiński, Beata Zielosko
Publikováno v:
Entropy, Vol 23, Iss 1, p 14 (2020)
In the paper, an approach for decision rules construction is proposed. It is studied from the point of view of the supervised machine learning task, i.e., classification, and from the point of view of knowledge representation. Generated rules provide
Externí odkaz:
https://doaj.org/article/2f8e32a1f5b24fa18e79c86fb08d8e15
Publikováno v:
Procedia Computer Science. 207:2737-2746
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70c0f27faa30ece00454fc7b017e9a4f
https://doi.org/10.1016/j.procs.2022.09.332
https://doi.org/10.1016/j.procs.2022.09.332
Publikováno v:
Fundamenta Informaticae. 166:1-14
In this paper, five greedy heuristics for construction of association rules are compared from the point of view of the length and coverage of constructed rules. The obtained rules are compared also with optimal ones constructed by dynamic programming
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b51c2b6e087c5df7848e1aa657205310
https://doi.org/10.3233/fi-2019-1791
https://doi.org/10.3233/fi-2019-1791
Autor:
Beata Zielosko, Krzysztof Żabiński
Publikováno v:
KES
Decision rules are popular form of knowledge representation. From this point of view, length of such rules is an important factor since it influences on data understanding by experts. Unfortunately, the problem of construction of short rules is NP-ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::131d90ac74cf1373b1cf1bdd30a2b34d
http://hdl.handle.net/20.500.12128/21862
http://hdl.handle.net/20.500.12128/21862
Autor:
Beata Zielosko, Krzysztof Żabiński
Publikováno v:
Entropy
Volume 23
Issue 1
Entropy, Vol 23, Iss 14, p 14 (2021)
Volume 23
Issue 1
Entropy, Vol 23, Iss 14, p 14 (2021)
In the paper, an approach for decision rules construction is proposed. It is studied from the point of view of the supervised machine learning task, i.e., classification, and from the point of view of knowledge representation. Generated rules provide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10bff6381f63f23a857c32ac0983e749
https://pubmed.ncbi.nlm.nih.gov/33374295
https://pubmed.ncbi.nlm.nih.gov/33374295
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811506369
ICICT (1)
ICICT (1)
The article presents one of the options for solving the optimization problem, the interaction between designer and technologist in the transition to the concept of Industry 4.0, by creating an intelligent information system for the verification of ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c89dc1dffb5b6f9e49b22efb9fb206de
https://doi.org/10.1007/978-981-15-0637-6_18
https://doi.org/10.1007/978-981-15-0637-6_18
Publikováno v:
Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aad538e4c6dc8631cea663f9892a66d1
https://doi.org/10.5220/0007899800002179
https://doi.org/10.5220/0007899800002179
Autor:
Beata Zielosko, Krzysztof Żabiński
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319999951
The paper presents a modification of a dynamic programming approach employed for decision rules optimization with respect to their length. There are two aspects taken into account: (i) consideration on the length of approximate decision rules and (ii
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fc5f4e49dd3e1fce37d70c71ff74aa6
https://doi.org/10.1007/978-3-319-99996-8_32
https://doi.org/10.1007/978-3-319-99996-8_32
Publikováno v:
Rough Sets ISBN: 9783319993676
IJCSR
IJCSR
The paper presents research on greedy heuristics used to obtain characteristics of features. The parameters of decision rules induced by heuristics were treated as a source of knowledge about variables. The observations on attributes were exploited f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f18bc010e70b1c97ce8b7e2e201ea34c
https://doi.org/10.1007/978-3-319-99368-3_27
https://doi.org/10.1007/978-3-319-99368-3_27