Cluster analysis for purpose oriented data mining in large databases: Employing new schemas with genetic programming - Softcover
Inhaltsangabe
Our book attempt to predict the business’ failure or success. A strong point of our book is that, produces perfect solutions compared to other cluster techniques and produced consistently in all runs. The advantage of our book is exploited to decrease the setup time and concentrate on the finding of solutions. It has been confirmed that Genetic Programming can be used to solve real-world problems with less computational time. In this book survival analysis is also used to find the existence of the business/customer. This book discusses a framework for the measurable properties of the QoS delivered to the end-user and QoS provided by the business. Before we come up with time series data mining methods, we itemize which problems need to be tackled. As a general rule, large time series comes along with super-high dimensionality, noise along characteristic patterns, outliers and dynamism. The problems that need to be tackled in time series data mining arise from typical properties of large time series. This book discusses state-of-the-art for QoS frameworks for the business like Telecommunication, retail etc.
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Über die Autorin bzw. den Autor
Mahesh Kandakatla working as associate professor in vaagdevi college of engineering. Completed his Ph.D. in 2016, M.Tech CSE from JNTU Hyderabad; His active research interests include data mining, network security, and ad-hoc networks.
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Cluster analysis for purpose oriented data mining in large databases
Verlag:
LAP LAMBERT Academic Publishing Dez 2017, 2017
ISBN 10: 6202095717
ISBN 13: 9786202095716
Neu
Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Our book attempt to predict the business' failure or success. A strong point of our book is that, produces perfect solutions compared to other cluster techniques and produced consistently in all runs. The advantage of our book is exploited to decrease the setup time and concentrate on the finding of solutions. It has been confirmed that Genetic Programming can be used to solve real-world problems with less computational time. In this book survival analysis is also used to find the existence of the business/customer. This book discusses a framework for the measurable properties of the QoS delivered to the end-user and QoS provided by the business. Before we come up with time series data mining methods, we itemize which problems need to be tackled. As a general rule, large time series comes along with super-high dimensionality, noise along characteristic patterns, outliers and dynamism. The problems that need to be tackled in time series data mining arise from typical properties of large time series. This book discusses state-of-the-art for QoS frameworks for the business like Telecommunication, retail etc. 252 pp. Englisch. Bestandsnummer des Verkäufers 9786202095716
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Cluster analysis for purpose oriented data mining in large databases
Verlag:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202095717
ISBN 13: 9786202095716
Neu
Softcover
Anbieter: moluna, Greven, Deutschland
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kandakatla MaheshMahesh Kandakatla working as associate professor in vaagdevi college of engineering. Completed his Ph.D. in 2016, M.Tech CSE from JNTU Hyderabad His active research interests include data mining, network securi. Bestandsnummer des Verkäufers 385926752
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Cluster analysis for purpose oriented data mining in large databases: Employing new schemas with genetic programming
Verlag:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202095717
ISBN 13: 9786202095716
Neu
Paperback
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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Paperback. Zustand: Brand New. 252 pages. 8.66x5.91x0.57 inches. In Stock. Bestandsnummer des Verkäufers zk6202095717
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Cluster analysis for purpose oriented data mining in large databases
Verlag:
LAP LAMBERT Academic Publishing Dez 2017, 2017
ISBN 10: 6202095717
ISBN 13: 9786202095716
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Our book attempt to predict the business' failure or success. A strong point of our book is that, produces perfect solutions compared to other cluster techniques and produced consistently in all runs. The advantage of our book is exploited to decrease the setup time and concentrate on the finding of solutions. It has been confirmed that Genetic Programming can be used to solve real-world problems with less computational time. In this book survival analysis is also used to find the existence of the business/customer. This book discusses a framework for the measurable properties of the QoS delivered to the end-user and QoS provided by the business. Before we come up with time series data mining methods, we itemize which problems need to be tackled. As a general rule, large time series comes along with super-high dimensionality, noise along characteristic patterns, outliers and dynamism. The problems that need to be tackled in time series data mining arise from typical properties of large time series. This book discusses state-of-the-art for QoS frameworks for the business like Telecommunication, retail etc.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 252 pp. Englisch. Bestandsnummer des Verkäufers 9786202095716
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Cluster analysis for purpose oriented data mining in large databases : Employing new schemas with genetic programming
Verlag:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202095717
ISBN 13: 9786202095716
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Our book attempt to predict the business' failure or success. A strong point of our book is that, produces perfect solutions compared to other cluster techniques and produced consistently in all runs. The advantage of our book is exploited to decrease the setup time and concentrate on the finding of solutions. It has been confirmed that Genetic Programming can be used to solve real-world problems with less computational time. In this book survival analysis is also used to find the existence of the business/customer. This book discusses a framework for the measurable properties of the QoS delivered to the end-user and QoS provided by the business. Before we come up with time series data mining methods, we itemize which problems need to be tackled. As a general rule, large time series comes along with super-high dimensionality, noise along characteristic patterns, outliers and dynamism. The problems that need to be tackled in time series data mining arise from typical properties of large time series. This book discusses state-of-the-art for QoS frameworks for the business like Telecommunication, retail etc. Bestandsnummer des Verkäufers 9786202095716
Neu kaufen
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Cluster analysis for purpose oriented data mining in large databases: Employing new schemas with genetic programming
Verlag:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202095717
ISBN 13: 9786202095716
Neu
paperback
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paperback. Zustand: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Bestandsnummer des Verkäufers ERICA80062020957176
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