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Add to basketPaperback. Condition: Brand New. 124 pages. 8.66x5.91x0.28 inches. In Stock.
Taschenbuch. Condition: Neu. An optimized Decision Tree Classification Algorithm for a Data Set | Book of Data Mining - Decision Tree Classification | Ehsan Ali Kareem | Taschenbuch | 124 S. | Englisch | 2017 | Noor Publishing | EAN 9783330840355 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Language: English
Published by Noor Publishing Mrz 2017, 2017
ISBN 10: 3330840358 ISBN 13: 9783330840355
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A decision tree is an important classification technique in data mining classification. Decision trees have proved to be valuable tools for the classification, description, and generalization of data. Work on building decision trees for data sets exists in multiple disciplines such as signal processing, pattern recognition, decision theory, statistics, machine learning and artificial neural networks. 124 pp. Englisch.
Language: English
Published by Noor Publishing Mär 2017, 2017
ISBN 10: 3330840358 ISBN 13: 9783330840355
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -A decision tree is an important classification technique in data mining classification. Decision trees have proved to be valuable tools for the classification, description, and generalization of data. Work on building decision trees for data sets exists in multiple disciplines such as signal processing, pattern recognition, decision theory, statistics, machine learning and artificial neural networks.Books on Demand GmbH, Überseering 33, 22297 Hamburg 124 pp. Englisch.
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A decision tree is an important classification technique in data mining classification. Decision trees have proved to be valuable tools for the classification, description, and generalization of data. Work on building decision trees for data sets exists in multiple disciplines such as signal processing, pattern recognition, decision theory, statistics, machine learning and artificial neural networks.