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The time series data mining (TSDM) framework is a fundamental contribution to the fields of time series and data mining. Methods based on the time series data mining framework are able to successfully characterize and predict complex, non-parametric, irregular and chaotic time series. The time series data mining methods overcome limitations (including stationarity and linearity requirements) of traditional time series analysis technique by adapting data mining concepts for analyzing time series.
Titre : Time Series Data Mining: Monograph on Data ...
Éditeur : LAP LAMBERT Academic Publishing
Date d'édition : 2020
Reliure : Couverture souple
Etat : New
Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: D. VenkatesanD. Venkatesan, PhD, Professor in Statistics, Annamalai University, India. He has published 45 research papers in the International Journals.R. Karnaboopathy, PhD, Assistant Professor cum Statistician in Shri Sathya Sai M. N° de réf. du vendeur 385945061
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Time Series Data Mining | Monograph on Data Mining | Venkatesan D. (u. a.) | Taschenbuch | 104 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202512497 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 118223949
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The time series data mining (TSDM) framework is a fundamental contribution to the fields of time series and data mining. Methods based on the time series data mining framework are able to successfully characterize and predict complex, non-parametric, irregular and chaotic time series. The time series data mining methods overcome limitations (including stationarity and linearity requirements) of traditional time series analysis technique by adapting data mining concepts for analyzing time series.Books on Demand GmbH, Überseering 33, 22297 Hamburg 104 pp. Englisch. N° de réf. du vendeur 9786202512497
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The time series data mining (TSDM) framework is a fundamental contribution to the fields of time series and data mining. Methods based on the time series data mining framework are able to successfully characterize and predict complex, non-parametric, irregular and chaotic time series. The time series data mining methods overcome limitations (including stationarity and linearity requirements) of traditional time series analysis technique by adapting data mining concepts for analyzing time series. 104 pp. Englisch. N° de réf. du vendeur 9786202512497
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The time series data mining (TSDM) framework is a fundamental contribution to the fields of time series and data mining. Methods based on the time series data mining framework are able to successfully characterize and predict complex, non-parametric, irregular and chaotic time series. The time series data mining methods overcome limitations (including stationarity and linearity requirements) of traditional time series analysis technique by adapting data mining concepts for analyzing time series. N° de réf. du vendeur 9786202512497
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