ISBN: 9786139854875 - fca applied in social networks with use of bdd: for high dimensional formal contexts (8 résultats)

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  • Langue : anglais

    Edité par LAP LAMBERT Academic Publishing, 2018

    6139854873 / 9786139854875

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  • Langue : anglais

    Edité par LAP LAMBERT Academic Publishing, 2018

    6139854873 / 9786139854875

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    Taschenbuch. Etat : Neu. FCA applied in social networks with use of BDD | for High Dimensional Formal Contexts | Sebastião Mendes Neto | Taschenbuch | 88 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139854875 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

  • Langue : anglais

    6139854873 / 9786139854875

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    Vendeur : Books Puddle, Woodside, NY, Etats-UnisBooks Puddle

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  • Langue : anglais

    Edité par LAP LAMBERT Academic Publishing Nov 2018, 2018

    6139854873 / 9786139854875

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    Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AllemagneBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In recent years, the increasing complexity of a hyper-connected world has directed the attentions of many types of research and because of that, we need new multidisciplinary complex network analysis. Our goal is to find and analyze users access patterns using a type of association rules named implications and enable large database handling through adaptation of Formal Concept Analysis (FCA) algorithms. Our results may help create security policies and network settings to better predict and control future users access. However, with the increasing amount of information from complex networks such as social networks, powerful computing resources are needed. We propose the use of binary decision diagram (BDD) to handle this situation. In this work, the BDD is adapted to FCA derivation operators allowing the handling of a quantity of information that without this technique would not be feasible. To evaluate BDD benefits, we used two types of algorithms, an incremental and a batch, both showed performance gains in formal context with high dimensionality and density. 88 pp. Englisch.…

  • Langue : anglais

    Edité par LAP LAMBERT Academic Publishing

    6139854873 / 9786139854875

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    Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH

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    EUR 62,49

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    Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In recent years, the increasing complexity of a hyper-connected world has directed the attentions of many types of research and because of that, we need new multidisciplinary complex network analysis. Our goal is to find and analyze users access patterns using a type of association rules named implications and enable large database handling through adaptation of Formal Concept Analysis (FCA) algorithms. Our results may help create security policies and network settings to better predict and control future users access. However, with the increasing amount of information from complex networks such as social networks, powerful computing resources are needed. We propose the use of binary decision diagram (BDD) to handle this situation. In this work, the BDD is adapted to FCA derivation operators allowing the handling of a quantity of information that without this technique would not be feasible. To evaluate BDD benefits, we used two types of algorithms, an incremental and a batch, both showed performance gains in formal context with high dimensionality and density.…

  • Langue : anglais

    Edité par LAP LAMBERT Academic Publishing Nov 2018, 2018

    6139854873 / 9786139854875

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    Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagnebuchversandmimpf2000

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    Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -In recent years, the increasing complexity of a hyper-connected world has directed the attentions of many types of research and because of that, we need new multidisciplinary complex network analysis. Our goal is to find and analyze users access patterns using a type of association rules named implications and enable large database handling through adaptation of Formal Concept Analysis (FCA) algorithms. Our results may help create security policies and network settings to better predict and control future users access. However, with the increasing amount of information from complex networks such as social networks, powerful computing resources are needed. We propose the use of binary decision diagram (BDD) to handle this situation. In this work, the BDD is adapted to FCA derivation operators allowing the handling of a quantity of information that without this technique would not be feasible. To evaluate BDD benefits, we used two types of algorithms, an incremental and a batch, both showed performance gains in formal context with high dimensionality and density.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch.…

  • Langue : anglais

    6139854873 / 9786139854875

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    Vendeur : Majestic Books, Hounslow, Royaume-UniMajestic Books

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    EUR 90,57

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  • Langue : anglais

    6139854873 / 9786139854875

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    Vendeur : Biblios, frankfurt am main, HESSE, AllemagneBiblios

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    EUR 91,38

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    Etat : New. PRINT ON DEMAND.