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001-es BibID:	BIBFORM070727
Első szerző:	Aszalós László (matematikus)
Cím:	Email labelling by rough clustering / László Aszalós, Mária Bakó, Tamás Mihálydeák
Dátum:	2014
Megjegyzések:	Previously, there were little possibilities to sort mails and later emails: we could only arrange them into folders. One mail or email could be put into exactly one folder, based on sender, subject or priority. Later in Gmail the labelling of emails was introduced: virtual folders were generated by the multiple labels that could be assigned to one email. This kind of labeling was taken by other mailers, photo and music organizer softwares, too.It is a pleasure to use a well organized collection, but usually paintaking to set up the its labelling. We simplify these kind of tasks by using our experience in rough set theory and clustering. The clustering is a well-known part of the data mining, where the elements are grouped by their similarity. The similarity is an inexact concept in real life, e. g. we easily mix up two Japanese persons, however a Chinese man easily differentiates them. We suggest that the rough clustering could help to combine data based on similarities from different sources, because it has some error-correcting property. In this article we present a method to label emails and its mathematical background.
ISBN:	978 615 5297 18 2
Tárgyszavak:	Természettudományok Matematika- és számítástudományok tanulmány, értekezés rough set correlation clustering data mining
Megjelenés:	Proceedings of the 9th International Conference on Applied Informatics January 29 - Februar 1, 2014. Eger, Hungary Volume I [elektronikus dokumentum] / ed. by Kovács Emőd, Kusper Gábor, Kunkli Roland, Tómács Tibor. - p. 19-26. -
További szerzők:	Bakó Mária (1970-) (matematika-informatika tanár) Mihálydeák Tamás Sándor (1955-) (filozófus, matematikus)
Pályázati támogatás:	TÁMOP-4.2.2.C-11/1/KONV-2012-0001 TÁMOP
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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