Nowadays batches of data are continuously transmitted from a rich variety of sources including websites, mobile devices and other data sources, henceforth referred to as evolving datasets. Discovering associations and their dynamics hidden in such large evolving datasets has been recognized as critical for domains ranging from market products analysis, stock trend monitoring, targeted advertising to weather forecasting.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Nowadays batches of data are continuously transmitted from a rich variety of sources including websites, mobile devices and other data sources, henceforth referred to as evolving datasets. Discovering associations and their dynamics hidden in such large evolving datasets has been recognized as critical for domains ranging from market products analysis, stock trend monitoring, targeted advertising to weather forecasting.
Xiao Qin is a Ph.D. candidate in the Computer Science Department at Worcester Polytechnic Institute and an ORISE fellow with U.S. Food and Drug Administration. His general research interests include data mining, big data analytics and information management.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Nowadays batches of data are continuously transmitted from a rich variety of sources including websites, mobile devices and other data sources, henceforth referred to as evolving datasets. Discovering associations and their dynamics hidden in such large evolving datasets has been recognized as critical for domains ranging from market products analysis, stock trend monitoring, targeted advertising to weather forecasting. 92 pp. Englisch. N° de réf. du vendeur 9783330057067
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Qin XiaoXiao Qin is a Ph.D. candidate in the Computer Science Department at Worcester Polytechnic Institute and an ORISE fellow with U.S. Food and Drug Administration. His general research interests include data mining, big data anal. N° de réf. du vendeur 151235175
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Nowadays batches of data are continuously transmitted from a rich variety of sources including websites, mobile devices and other data sources, henceforth referred to as evolving datasets. Discovering associations and their dynamics hidden in such large evolving datasets has been recognized as critical for domains ranging from market products analysis, stock trend monitoring, targeted advertising to weather forecasting.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch. N° de réf. du vendeur 9783330057067
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Nowadays batches of data are continuously transmitted from a rich variety of sources including websites, mobile devices and other data sources, henceforth referred to as evolving datasets. Discovering associations and their dynamics hidden in such large evolving datasets has been recognized as critical for domains ranging from market products analysis, stock trend monitoring, targeted advertising to weather forecasting. N° de réf. du vendeur 9783330057067
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Taschenbuch. Etat : Neu. Interactive Temporal Association Analytics | Xiao Qin (u. a.) | Taschenbuch | 92 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330057067 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 108781640
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