Time Series Data Mining: Monograph on Data Mining - Couverture souple

D., Venkatesan ; R., Karnaboopathy

9786202512497: Time Series Data Mining: Monograph on Data Mining

Couverture souple

ISBN 10 : 6202512490 ISBN 13 : 9786202512497

Editeur : LAP LAMBERT Academic Publishing, 2020

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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.

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�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2020
Langue: anglais
ISBN 10: 6202512490
ISBN 13: 9786202512497
Reliure: Broch�
Nombre de pages: 104
Coordonn�es du fabricant: non disponible
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Time Series Data Mining Monograph on Data Mining

D., Venkatesan; R., Karnaboopathy

Edit� par LAP Lambert Academic Publishing, 2020

ISBN 10 : 6202512490 ISBN 13 : 9786202512497

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Time Series Data Mining Monograph on Data Mining

D., Venkatesan; R., Karnaboopathy

Edit� par LAP Lambert Academic Publishing, 2020

ISBN 10 : 6202512490 ISBN 13 : 9786202512497

Neuf PAP

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Time Series Data Mining: Monograph on Data Mining

D., Venkatesan; R., Karnaboopathy

Edit� par LAP LAMBERT Academic Publishing, 2020

ISBN 10 : 6202512490 ISBN 13 : 9786202512497

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Time Series Data Mining

Venkatesan D.

Edit� par LAP LAMBERT Academic Publishing Mrz 2020, 2020

ISBN 10 : 6202512490 ISBN 13 : 9786202512497

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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 r�f. du vendeur 9786202512497

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Time Series Data Mining

Venkatesan D.|Karnaboopathy R.

Edit� par LAP LAMBERT Academic Publishing, 2020

ISBN 10 : 6202512490 ISBN 13 : 9786202512497

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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 r�f. du vendeur 385945061

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Time Series Data Mining

Venkatesan D.

Edit� par LAP LAMBERT Academic Publishing M�r 2020, 2020

ISBN 10 : 6202512490 ISBN 13 : 9786202512497

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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.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 104 pp. Englisch. N� de r�f. du vendeur 9786202512497

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Time Series Data Mining : Monograph on Data Mining

Venkatesan D.

Edit� par LAP LAMBERT Academic Publishing, 2020

ISBN 10 : 6202512490 ISBN 13 : 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 r�f. du vendeur 9786202512497

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