Algebraic methods of data retrieval

dc.contributor.author	Adaricheva, K.
dc.contributor.author	Nation, J.B.
dc.date.accessioned	2015-11-03T05:08:48Z
dc.date.available	2015-11-03T05:08:48Z
dc.date.issued	2013
dc.identifier.uri	http://nur.nu.edu.kz/handle/123456789/679
dc.description.abstract	Discovery of (strong) association rules, or implications, between the attributes of a binary table is an important task in data management, and it finds application in artificial intelligence, data mining and the semantic web. The challenge of the task is to deal with the large data sets, when the most known approaches require a time that depends exponentially on the size of the data	ru_RU
dc.language.iso	en	ru_RU
dc.publisher	Nazarbayev University	ru_RU
dc.subject	first research week	ru_RU
dc.subject	data management	ru_RU
dc.subject	data analysis	ru_RU
dc.subject	data mining field	ru_RU
dc.title	Algebraic methods of data retrieval	ru_RU
dc.type	Abstract	ru_RU