Artículos relacionados a Data Mining: Comparative study of predictive techniques
Sinopsis
Today, a large number of companies are becoming aware of the wealth contained in their data, and are questioning the value of implementing techniques. Companies have access to ever more data. The sheer quantity of information available can make it very difficult to apprehend huge volumes of structured and unstructured data in order to implement company-wide improvement projects.This book focuses on 2 Datamining techniques (supervised and unsupervised) such as: decision trees, regression, neural networks and support vector machines (SVM)...we focus on the environment of use of each technique, the advantages,disadvantages and consequences of choosing one of these technical elements to extract hidden predictive information from large databases and how to implement each technique.Finally, the paper presented some valuable recommendations in the Dataminig field.
"Sinopsis" puede pertenecer a otra edición de este libro.
Comprar nuevo
Ver este artículo
EUR 43,90
EUR 11,00 gastos de envío desde Alemania a España
Destinos, gastos y plazos de envíoResultados de la búsqueda para Data Mining: Comparative study of predictive techniques
Imagen del vendedor
Data Mining: Comparative study of predictive techniques
Publicado por
Our Knowledge Publishing Nov 2023, 2023
ISBN 10: 6206675688
ISBN 13: 9786206675686
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Today, a large number of companies are becoming aware of the wealth contained in their data, and are questioning the value of implementing techniques. Companies have access to ever more data. The sheer quantity of information available can make it very difficult to apprehend huge volumes of structured and unstructured data in order to implement company-wide improvement projects.This book focuses on 2 Datamining techniques (supervised and unsupervised) such as: decision trees, regression, neural networks and support vector machines (SVM).we focus on the environment of use of each technique, the advantages,disadvantages and consequences of choosing one of these technical elements to extract hidden predictive information from large databases and how to implement each technique.Finally, the paper presented some valuable recommendations in the Dataminig field. 52 pp. Englisch. Nº de ref. del artículo: 9786206675686
Cantidad disponible: 2 disponibles
Imagen del vendedor
Data Mining: Comparative study of predictive techniques
Publicado por
Our Knowledge Publishing, 2023
ISBN 10: 6206675688
ISBN 13: 9786206675686
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: BALAR KhalidTeacher Khalid BALARQualified Higher Education TeacherSpecialty: Business Intelligence and Statistical ModelingCoordinator of the Professional License in E-Business and Digital Management.Faculty of Legal, Economic and So. Nº de ref. del artículo: 1246999601
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Data Mining: Comparative study of predictive techniques : in the economic sector
Publicado por
Our Knowledge Publishing, 2023
ISBN 10: 6206675688
ISBN 13: 9786206675686
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Today, a large number of companies are becoming aware of the wealth contained in their data, and are questioning the value of implementing techniques. Companies have access to ever more data. The sheer quantity of information available can make it very difficult to apprehend huge volumes of structured and unstructured data in order to implement company-wide improvement projects.This book focuses on 2 Datamining techniques (supervised and unsupervised) such as: decision trees, regression, neural networks and support vector machines (SVM).we focus on the environment of use of each technique, the advantages,disadvantages and consequences of choosing one of these technical elements to extract hidden predictive information from large databases and how to implement each technique.Finally, the paper presented some valuable recommendations in the Dataminig field. Nº de ref. del artículo: 9786206675686
Cantidad disponible: 1 disponibles
Imagen del vendedor
Data Mining: Comparative study of predictive techniques
Publicado por
Our Knowledge Publishing Nov 2023, 2023
ISBN 10: 6206675688
ISBN 13: 9786206675686
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -Today, a large number of companies are becoming aware of the wealth contained in their data, and are questioning the value of implementing techniques. Companies have access to ever more data. The sheer quantity of information available can make it very difficult to apprehend huge volumes of structured and unstructured data in order to implement company-wide improvement projects.This book focuses on 2 Datamining techniques (supervised and unsupervised) such as: decision trees, regression, neural networks and support vector machines (SVM).we focus on the environment of use of each technique, the advantages,disadvantages and consequences of choosing one of these technical elements to extract hidden predictive information from large databases and how to implement each technique.Finally, the paper presented some valuable recommendations in the Dataminig field.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch. Nº de ref. del artículo: 9786206675686
Cantidad disponible: 2 disponibles