Application of data mining technology to optimize the city transport network

dc.contributor.author	Makarova I.
dc.contributor.author	Khabibullin R.
dc.contributor.author	Mavrin V.
dc.contributor.author	Tikhonov D.
dc.contributor.author	Davletshin D.
dc.contributor.author	Shubenkova K.
dc.date.accessioned	2018-04-05T07:10:29Z
dc.date.available	2018-04-05T07:10:29Z
dc.date.issued	2017
dc.identifier.uri	http://dspace.kpfu.ru/xmlui/handle/net/130477
dc.description.abstract	© 2016 IEEE. The article considers the experience of OLAP-technology in solving optimization problems of the city transport system. The authors proposed a conceptual decision support scheme to optimize the transport-road network parameters. The developed system provides the possibility of intelligent analysis and decision-making based on OLAP-technologies and simulation models.
dc.subject	intelligent analysis
dc.subject	OLAP
dc.subject	simulation modeling
dc.subject	transport network
dc.title	Application of data mining technology to optimize the city transport network
dc.type	Conference Paper
dc.collection	Публикации сотрудников КФУ
dc.source.id	SCOPUS-2017-SID85034222220

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Публикации сотрудников КФУ Scopus [24551]
Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.