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- 1.0447829 - ÚI 2016 RIV US eng J - Journal Article
Holeňa, Martin - Bajer, L. - Ščavnický, M.
Using Copulas in Data Mining Based on the Observational Calculus.
IEEE Transactions on Knowledge and Data Engineering. Roč. 27, č. 10 (2015), s. 2851-2864. ISSN 1041-4347. E-ISSN 1558-2191
R&D Projects: GA ČR GA13-17187S
Grant - others:SLU(CZ) SGS/21/2014
Institutional support: RVO:67985807
Keywords : data mining * observational calculus * generalized quantifiers * joint probability distribution * copulas * hierarchical Archimedean copulas
Subject RIV: IN - Informatics, Computer Science
Impact factor: 2.476, year: 2015
Permanent Link: http://hdl.handle.net/11104/0249603File Download Size Commentary Version Access a0447829.pdf 8 668.1 KB Publisher’s postprint require - 2.0442862 - ÚI 2016 RIV NL eng J - Journal Article
Górecki, J. - Hofert, M. - Holeňa, Martin
An Approach to Structure Determination and Estimation of Hierarchical Archimedean Copulas and its Application to Bayesian Classification.
Journal of Intelligent Information Systems. Roč. 46, č. 1 (2016), s. 21-59. ISSN 0925-9902. E-ISSN 1573-7675
R&D Projects: GA ČR GA13-17187S
Grant - others:Slezská univerzita v Opavě(CZ) SGS/21/2014
Institutional support: RVO:67985807
Keywords : Copula * Hierarchical archimedean copula * Copula estimation * Structure determination * Kendall’s tau * Bayesian classification
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 1.294, year: 2016
Permanent Link: http://hdl.handle.net/11104/0245680