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Design application hybrid intelligent (3 resultados)

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  • Idioma: Inglés

    Editorial: Südwestdeutscher Verlag für Hochschulschriften, 2015

    3838113756 / 9783838113753

    • Tapa blanda

    Librería: preigu, Osnabrück, Alemaniapreigu

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    Condición: Nuevo

    EUR 74,90

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    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 5 disponibles

    Taschenbuch. Condición: Neu. A Domain-Independent Framework for Intelligent Recommendations | Design, Application and Evaluation of a Hybrid Machine Learning Framework using Case Studies within varied Domains | Jörn David | Taschenbuch | 340 S. | Englisch | 2015 | Südwestdeutscher Verlag für Hochschulschriften | EAN 9783838113753 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

  • Idioma: Inglés

    Editorial: SAGE Publications Ltd, 2006

    1586033948 / 9781586033941

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    Librería: Basi6 International, Irving, TX, Estados Unidos de AmericaBasi6 International

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    Condición: Nuevo

    EUR 159,06

     Gastos de envío gratis 
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    Cantidad disponible: 1 disponible

    Condición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

  • Idioma: Inglés

    Editorial: Südwestdeutscher Verlag Für Hochschulschriften, 2010

    3838113756 / 9783838113753

    • Tapa blanda
    • Impresión bajo demanda

    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Condición: Nuevo

    EUR 97,24

    Envío por EUR 35,00 
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    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Recommender systems assist the user in decision- making processes and automate information processing steps like the classification of artifacts. Intelligent recommendations help users to cope with the steadily growing information overload within the internet or when using information systems at their place of work, for instance. As an example, the recommendation techniques collaborative filtering and content-based filtering are mainly applied in the areas of e-Commerce and web navigation to recommend potentially relevant articles or websites. Recommender systems are either based on machine learning functions such as clustering, classification, and prediction or they are realized by symbolic methods like association rule mining, that is, by rule-based mechanisms in general. The hybrid and domain-independent framework developed in this dissertation called SymboConn is based on a recurrent neural network and provides a high generalization capability, flexibility, and robustness. We demonstrate its applicability by case studies in navigation recommendation, design pattern discovery, change impact analysis as well as time series prediction.…