Integration challenges for analytics, business intelligence, and data mining/ Ana Azevedo and Manuel Filipe Santos, editors.

dc.contributor.author	Azevedo Ana
dc.contributor.author	Santos Manuel Filipe
dc.date.accessioned	2024-01-29T21:46:40Z
dc.date.available	2024-01-29T21:46:40Z
dc.date.issued	2020
dc.identifier.citation	Integration challenges for analytics, business intelligence, and data mining - 1 online resource - URL: https://libweb.kpfu.ru/ebsco/pdf/2690793.pdf
dc.identifier.isbn	1799857832
dc.identifier.isbn	9781799857839
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/179900
dc.description	Includes bibliographical references and index.
dc.description.abstract	"This book provides insights concerning the integration of data mining in business intelligence and analytics systems, increasing the understanding of using data mining in the context of business intelligence and analytics"--
dc.language	English
dc.language.iso	en
dc.subject.other	Business enterprises -- Data processing.
dc.subject.other	Business intelligence.
dc.subject.other	Data mining.
dc.subject.other	Business enterprises -- Data processing
dc.subject.other	Business intelligence
dc.subject.other	Data mining
dc.subject.other	Electronic books.
dc.title	Integration challenges for analytics, business intelligence, and data mining/ Ana Azevedo and Manuel Filipe Santos, editors.
dc.type	Book
dc.description.pages	1 online resource
dc.collection	Электронно-библиотечные системы
dc.source.id	EN05CEBSCO05C662