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dc.contributor.authorCiza Thomas*
dc.date.accessioned2021-02-11T10:58:58Z
dc.date.available2021-02-11T10:58:58Z
dc.date.issued2018*
dc.date.submitted2019-10-03 07:51:51*
dc.identifier37436*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/44551
dc.description.abstractThis book on data mining explores a broad set of ideas and presents some of the state-of-the-art research in this field. The book is triggered by pervasive applications that retrieve knowledge from real-world big data. Data mining finds applications in the entire spectrum of science and technology including basic sciences to life sciences and medicine, to social, economic, and cognitive sciences, to engineering and computers. The chapters discuss various applications and research frontiers in data mining with algorithms and implementation details for use in real-world. This can be through characterization, classification, discrimination, anomaly detection, association, clustering, trend or evolution prediction, etc. The intended audience of this book will mainly consist of researchers, research students, practitioners, data analysts, and business professionals who seek information on the various data mining techniques and their applications.*
dc.languageEnglish*
dc.subjectQA75.5-76.95*
dc.subject.otherPhysical Sciences*
dc.subject.otherEngineering and Technology*
dc.subject.otherComputer and Information Science*
dc.subject.otherMachine Learning and Data Mining*
dc.subject.otherNumerical Analysis and Scientific Computing*
dc.titleData Mining*
dc.typebook
oapen.identifier.doi10.5772/intechopen.71371*
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6*
virtual.oapen_relation_isPublishedBy.publisher_nameIntechOpen
virtual.oapen_relation_isPublishedBy.publisher_websitehttps://www.intechopen.com/
oapen.relation.isbn9781789235968*
oapen.relation.isbn9781789235975*
oapen.pages190*
oapen.edition1st Edition*


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