Algebraic methods of data retrieval

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dc.contributor.authorAdaricheva, K.
dc.contributor.authorNation, J.B.
dc.date.accessioned2015-11-03T05:08:48Z
dc.date.available2015-11-03T05:08:48Z
dc.date.issued2013
dc.description.abstractDiscovery 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 dataru_RU
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/679
dc.language.isoenru_RU
dc.publisherNazarbayev Universityru_RU
dc.subjectfirst research weekru_RU
dc.subjectdata managementru_RU
dc.subjectdata analysisru_RU
dc.subjectdata mining fieldru_RU
dc.titleAlgebraic methods of data retrievalru_RU
dc.typeAbstractru_RU

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