Forecasting the state of technogenic emergency situation on the railway transport using data mining technologies

dc.contributor.author	Savchuk, Т. О.	en
dc.contributor.author	Kozachuk, A.	en
dc.contributor.author	Gromaszek, K.	en
dc.contributor.author	Sugurova, L.	en
dc.contributor.author	Савчук, Т. О.	uk
dc.contributor.author	Козачук, А. В.	uk
dc.date.accessioned	2017-07-27T07:53:34Z
dc.date.available	2017-07-27T07:53:34Z
dc.date.issued	2014
dc.identifier.citation	Forecasting the state of technogenic emergency situation on the railway transport using data mining technologies [Text] / Т. О. Savchuk, A. Kozachuk, K. Gromaszek, L. Sugurova // Journal Przegląd Elektrotechniczny. - Warszawa, 2014. - № 1. - P. 50-54.	en
dc.identifier.issn	0033-2097
dc.identifier.uri	http://ir.lib.vntu.edu.ua//handle/123456789/17943
dc.description.abstract	The paper presents the results of research railway transport emergency prevention. Authors used mathematical model for the prediction of the state of the train tank cargo with superheated liquid and considered some data mining techniques	en
dc.language.iso	en	en
dc.publisher	Stowarzyszenie Polskich Inżynierów Elektryków i Elektroników	pl
dc.relation.ispartof	Journal Przegląd Elektrotechniczny 1 : 50-54.	pl
dc.subject	railway transport	en
dc.subject	superheated liquid tanks	en
dc.subject	emergency forecasting	en
dc.subject	data mining	en
dc.title	Forecasting the state of technogenic emergency situation on the railway transport using data mining technologies	en
dc.type	Article