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Sinopsis
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 datasets exists in multiple disciplines such as signal processing, pattern recognition, decision theory, statistics, machine learning and artificial neural networks. This thesis deals with the problem of finding the parameter settings of decision tree algorithm in order to build accurate, small trees, and to reduce execution time for a given domain.
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Reseña del editor
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 datasets exists in multiple disciplines such as signal processing, pattern recognition, decision theory, statistics, machine learning and artificial neural networks. This thesis deals with the problem of finding the parameter settings of decision tree algorithm in order to build accurate, small trees, and to reduce execution time for a given domain.
Biografía del autor
Name: Radhwan Hussein allSagheer. Degree: Assistant Lecturer since 2016. Master(2016): Computer Engineering - Osmania University - Hyderabad – India, Appreciation: very good, Graduation Project: Improving The Efficiency Of C4.5 Algorithm For Data Mining Prediction.
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Improving The Efficiency Of C4.5 Algorithm For Data Mining Prediction
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Noor Publishing Jul 2017, 2017
ISBN 10: 3330845791
ISBN 13: 9783330845794
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Taschenbuch. Condición: 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 datasets exists in multiple disciplines such as signal processing, pattern recognition, decision theory, statistics, machine learning and artificial neural networks. This thesis deals with the problem of finding the parameter settings of decision tree algorithm in order to build accurate, small trees, and to reduce execution time for a given domain. 88 pp. Englisch. Nº de ref. del artículo: 9783330845794
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Improving The Efficiency Of C4.5 Algorithm For Data Mining Prediction
Publicado por
Noor Publishing Jul 2017, 2017
ISBN 10: 3330845791
ISBN 13: 9783330845794
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Taschenbuch. Condición: 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 datasets exists in multiple disciplines such as signal processing, pattern recognition, decision theory, statistics, machine learning and artificial neural networks. This thesis deals with the problem of finding the parameter settings of decision tree algorithm in order to build accurate, small trees, and to reduce execution time for a given domain.Books on Demand GmbH, Überseering 33, 22297 Hamburg 88 pp. Englisch. Nº de ref. del artículo: 9783330845794
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Improving The Efficiency Of C4.5 Algorithm For Data Mining Prediction
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Taschenbuch. Condición: 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 datasets exists in multiple disciplines such as signal processing, pattern recognition, decision theory, statistics, machine learning and artificial neural networks. This thesis deals with the problem of finding the parameter settings of decision tree algorithm in order to build accurate, small trees, and to reduce execution time for a given domain. Nº de ref. del artículo: 9783330845794
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Improving The Efficiency Of C4.5 Algorithm For Data Mining Prediction
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Taschenbuch. Condición: Neu. Improving The Efficiency Of C4.5 Algorithm For Data Mining Prediction | Radhwan Hussein Alsagheer | Taschenbuch | 88 S. | Englisch | 2017 | Noor Publishing | EAN 9783330845794 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 109538857
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