data mining comparative study de balar khalid (4 resultados)

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.

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.

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.

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.