Isbn: 9786200467089 - data analysis of clustering and classification schemes in networking: node stability analysis, nrga and elmknn (8 risultati)

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    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2019

      6200467080 / 9786200467089

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      Da: Books Puddle, New York, NY, U.S.A.Books Puddle

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      EUR 128,89

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      Condizione: New.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing Nov 2019, 2019

      6200467080 / 9786200467089

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      Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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      EUR 82,90

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      Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In MANET, EOPHMR approach has been used to conserve energy in the nodes. The energy reduction of the proposed EOPHMR approach is observed to be significant.A clustering algorithm that is a hybrid model of IG NRGA and KNN is presented for feature selection in microarray data sets. NRGA algorithm is used to do feature selection based on clustering technique. The approach uses ELM and FKNN as classifiers. The objective of the proposed systems is to get the highest accuracy when classifying the samples by the means a small subset of informative genes. A combination of two proposed gene selection techniques is used to solve the problem of the microarray high dimensionality. The combined technique gives high performance as it reduces the amount genes. It chooses gene for classification as each of them are much efficient binary classification techniques and typically give good results by attenuating their variety of attributes. 268 pp. Englisch.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2019

      6200467080 / 9786200467089

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      Da: moluna, Greven, Germaniamoluna

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      EUR 66,32

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      Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sungheetha AkeyThe academic work habits have evolved over the past eleven years on teaching and research. Significant contributions have been made based on the study that illustrates a unique pattern of data analysis. The study reave.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2019

      6200467080 / 9786200467089

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      Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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      EUR 134,06

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    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2019

      6200467080 / 9786200467089

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      Da: preigu, Osnabrück, Germaniapreigu

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      EUR 68,85

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      Taschenbuch. Condizione: Neu. Data Analysis of Clustering and Classification Schemes in Networking | Node stability analysis, NRGA and ELMKNN | Akey Sungheetha (u. a.) | Taschenbuch | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200467089 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing Nov 2019, 2019

      6200467080 / 9786200467089

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      Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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      EUR 82,90

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      Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In MANET, EOPHMR approach has been used to conserve energy in the nodes. The energy reduction of the proposed EOPHMR approach is observed to be significant.A clustering algorithm that is a hybrid model of IG NRGA and KNN is presented for feature selection in microarray data sets. NRGA algorithm is used to do feature selection based on clustering technique. The approach uses ELM and FKNN as classifiers. The objective of the proposed systems is to get the highest accuracy when classifying the samples by the means a small subset of informative genes. A combination of two proposed gene selection techniques is used to solve the problem of the microarray high dimensionality. The combined technique gives high performance as it reduces the amount genes. It chooses gene for classification as each of them are much efficient binary classification techniques and typically give good results by attenuating their variety of attributes.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 268 pp. Englisch.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2019

      6200467080 / 9786200467089

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      Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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      EUR 135,69

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      Condizione: New. PRINT ON DEMAND.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2019

      6200467080 / 9786200467089

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      Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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      Condizione: Nuovo

      EUR 117,24

      EUR 30,50 spedizione 
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      Quantità: 1 disponibili

      Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In MANET, EOPHMR approach has been used to conserve energy in the nodes. The energy reduction of the proposed EOPHMR approach is observed to be significant.A clustering algorithm that is a hybrid model of IG NRGA and KNN is presented for feature selection in microarray data sets. NRGA algorithm is used to do feature selection based on clustering technique. The approach uses ELM and FKNN as classifiers. The objective of the proposed systems is to get the highest accuracy when classifying the samples by the means a small subset of informative genes. A combination of two proposed gene selection techniques is used to solve the problem of the microarray high dimensionality. The combined technique gives high performance as it reduces the amount genes. It chooses gene for classification as each of them are much efficient binary classification techniques and typically give good results by attenuating their variety of attributes.