Application of FussionClassify for data classification

dc.contributor.author	Duraj, Agnieszka
dc.date.accessioned	2015-06-03T11:16:01Z
dc.date.available	2015-06-03T11:16:01Z
dc.date.issued	2013
dc.description.abstract	In the published articles and works there are solutions regarding data fusion. However, there is not any verification as for the efficiency of classifiers in the case of many sources of data given simultaneously. It is, seemingly, a very significant problem to be considered in the case of e.g. data fusion in intelligent traffic control. The intention of the author is to prepare the tools for classification of data which come from various sources. They can be sets (data files) prepared by the user of application, but they can also be one (or many) sets from the UCI machine learning repository (http://archive.ics.uci.edu/ml/).	en_EN
dc.format	application/pdf
dc.identifier.citation	Journal of Applied Computer Science., 2013 Vol.21 nr 1 s.39-52
dc.identifier.issn	1507-0360
dc.identifier.other	0000040293
dc.identifier.uri	http://hdl.handle.net/11652/467
dc.language.iso	en
dc.publisher	Wydawnictwo Politechniki Łódzkiej	pl_PL
dc.publisher	Lodz University of Technology. Press	en_EN
dc.relation.ispartofseries	Journal of Applied Computer Science., 2013 Vol.21 nr 1	en_EN
dc.title	Application of FussionClassify for data classification
dc.type	Artykuł

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