Making Items Suggestions in Non Online Environments

KOURIS, I; MAKRIS, C; TSAKALIDIS, A

dc.contributor.author	KOURIS, I	en
dc.contributor.author	MAKRIS, C	en
dc.contributor.author	TSAKALIDIS, A	en
dc.date.accessioned	2014-03-01T01:55:04Z
dc.date.available	2014-03-01T01:55:04Z
dc.date.issued	2006	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/27587
dc.relation.uri	http://www.wseas.us/e-library/conferences/2006madrid/papers/512-489.pdf	en
dc.subject	Association Rule	en
dc.subject	Data Mining	en
dc.subject	Indexation	en
dc.title	Making Items Suggestions in Non Online Environments	en
heal.type	journalArticle	en
heal.publicationDate	2006	en
heal.abstract	Practically all data mining techniques and especially association rules assume an on-line environment in order to operate; such as a web site or an electronic machine. Most businesses though as well as the largest part of current trade are still being made in the traditional off-line way, requiring the physical presence of both the customers and the products, leaving all	en