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Deep learning techniques and optimization strategies in big data analytics Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series./ [edited by] J. Joshua Thomas, Pinar Karagoz, B. Bazeer Ahamed, Pandian Vasant.

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dc.contributor.author Thomas J. Joshua,
dc.date.accessioned 2024-01-29T21:42:13Z
dc.date.available 2024-01-29T21:42:13Z
dc.date.issued 2020
dc.identifier.citation Deep learning techniques and optimization strategies in big data analytics Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series. - 1 online resource (xxv, 355 pages). - URL: https://libweb.kpfu.ru/ebsco/pdf/2290014.pdf
dc.identifier.isbn 1799811948
dc.identifier.isbn 9781799811947
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/179792
dc.description Includes bibliographical references and index.
dc.description.abstract "This book examines the application of artificial intelligence in machine learning, data mining in unstructured data sets or databases, web mining, and information retrieval"--
dc.language English
dc.language.iso en
dc.relation.ispartofseries Advances in Systems Analysis, Software Engineering, and High Performance Computing (ASASEHPC) Book Series
dc.relation.ispartofseries Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series.
dc.subject.other Big data.
dc.subject.other Quantitative research.
dc.subject.other Big data.
dc.subject.other Quantitative research.
dc.subject.other Electronic books.
dc.title Deep learning techniques and optimization strategies in big data analytics Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series./ [edited by] J. Joshua Thomas, Pinar Karagoz, B. Bazeer Ahamed, Pandian Vasant.
dc.type Book
dc.description.pages 1 online resource (xxv, 355 pages).
dc.collection Электронно-библиотечные системы
dc.source.id EN05CEBSCO05C45030


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