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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.
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Data Mining: Comparative study of predictive techniques
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Condizione: 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. Codice articolo 1246999601
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Data Mining: Comparative study of predictive techniques
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Our Knowledge Publishing Nov 2023, 2023
ISBN 10: 6206675688
ISBN 13: 9786206675686
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9786206675686
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Data Mining: Comparative study of predictive techniques
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Our Knowledge Publishing Nov 2023, 2023
ISBN 10: 6206675688
ISBN 13: 9786206675686
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9786206675686
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Data Mining: Comparative study of predictive techniques : in the economic sector
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Our Knowledge Publishing, 2023
ISBN 10: 6206675688
ISBN 13: 9786206675686
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9786206675686
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