DC pole | Wartość | Język |
dc.contributor.author | Stańczyk, Urszula | - |
dc.contributor.author | Zielosko, Beata | - |
dc.date.accessioned | 2019-10-02T08:56:03Z | - |
dc.date.available | 2019-10-02T08:56:03Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | "Procedia Computer Science" Vol. 159 (2019), s. 1811-1820 | pl_PL |
dc.identifier.issn | 1877-0509 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12128/11099 | - |
dc.description | 23rd International Conference on Knowledge-Based and Intelligent Information & Engineering
Systems - early article | pl_PL |
dc.description.abstract | The paper presents research on unsupervised and supervised discretisation of input data used in execution of stylometric tasks of authorship attribution. Basing on numeric characterisation of writing styles, recognition of authorship is performed by decision rules, as their transparent structure enhances understanding of discovered knowledge. The performance of rule classifiers, constructed in rough set approach, is studied in the context of a strategy employed for resolving conflicts. It is also contrasted with that of other selected inducers. | pl_PL |
dc.language.iso | en | pl_PL |
dc.rights | Uznanie autorstwa-Użycie niekomercyjne-Bez utworów zależnych 3.0 Polska | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/pl/ | * |
dc.subject | Discretisation | pl_PL |
dc.subject | Rugh sets | pl_PL |
dc.subject | Dcision rule | pl_PL |
dc.subject | Cnflict | pl_PL |
dc.subject | Classification | pl_PL |
dc.subject | Stylometry | pl_PL |
dc.title | On Approaches to Discretisation of Stylometric Data and Conflict
Resolution in Decision Making | pl_PL |
dc.type | info:eu-repo/semantics/article | pl_PL |
dc.identifier.doi | 10.1016/j.procs.2019.09.353 | - |
Pojawia się w kolekcji: | Artykuły (WNŚiT)
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