Cluster analysis for purpose oriented data mining in large databases: Employing new schemas with genetic programming - Softcover
Synopsis
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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Cluster analysis for purpose oriented data mining in large databases
Published by
LAP LAMBERT Academic Publishing Dez 2017, 2017
ISBN 10: 6202095717
ISBN 13: 9786202095716
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9786202095716
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Cluster analysis for purpose oriented data mining in large databases
Published by
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202095717
ISBN 13: 9786202095716
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Softcover
Seller: moluna, Greven, Germany
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Condition: 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. Seller Inventory # 385926752
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Cluster analysis for purpose oriented data mining in large databases: Employing new schemas with genetic programming
Published by
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202095717
ISBN 13: 9786202095716
New
Paperback
Seller: Revaluation Books, Exeter, United Kingdom
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Paperback. Condition: Brand New. 252 pages. 8.66x5.91x0.57 inches. In Stock. Seller Inventory # zk6202095717
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Cluster analysis for purpose oriented data mining in large databases
Published by
LAP LAMBERT Academic Publishing Dez 2017, 2017
ISBN 10: 6202095717
ISBN 13: 9786202095716
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9786202095716
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Cluster analysis for purpose oriented data mining in large databases : Employing new schemas with genetic programming
Published by
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202095717
ISBN 13: 9786202095716
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9786202095716
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Cluster analysis for purpose oriented data mining in large databases: Employing new schemas with genetic programming
Published by
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202095717
ISBN 13: 9786202095716
New
paperback
Seller: Mispah books, Redhill, SURRE, United Kingdom
Seller rating 4 out of 5 stars
paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Seller Inventory # ERICA80062020957176