Properties of probability productive dependencies in the data analysis of large data volumes

dc.contributor.authorPshenychnyi, Oleksandr
dc.date.accessioned2013-01-21T08:13:46Z
dc.date.available2013-01-21T08:13:46Z
dc.date.issued2012
dc.description.abstractThis paper describes findings in the area of aggregated associative dependencies detection. The work gives a method of building aggregated associative dependencies in large data volumes. This research can be applied to the wide range of data types and optimize data mining processes. У статті наведено результати дослідження властивостей асоціативних залежностей та можливостей їх ефективного агрегування. Розрозблено метод виявлення асоціативних залежностей широкого класу у великих наборах даних.uk_UA
dc.identifier.citationPshenychnyi O. Properties of probability productive dependencies in the data analysis of large data volumes / Oleksandr Pshenychnyi // Computational Problems of Electrical Engineering. – 2012. – Volume 2, number 1. – P. 103–110. – Bibliography: 7 titles.uk_UA
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/16436
dc.language.isoenuk_UA
dc.publisherPublishing House of Lviv Polytechnic National Universityuk_UA
dc.subjectaggregated associative dependencyuk_UA
dc.subjectdata mininguk_UA
dc.subjectlarge data volumeuk_UA
dc.subjectfunctional dependencyuk_UA
dc.titleProperties of probability productive dependencies in the data analysis of large data volumesuk_UA
dc.title.alternativeВластивості асоціативних залежностей у аналізі данихuk_UA
dc.typeArticleuk_UA

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