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Fawaz Alsolami – författare

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3 produkter

  1. Fawaz Alsolami, Mohammad Azad, Igor Chikalov, Mikhail Moshkov - Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions, Inbunden. Tillgänglighet: Lägg i varukorg

    Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions

    Av Fawaz Alsolami, Mohammad Azad m. fl.

    Inbunden, 2019

    1095 kr

    Lägg i varukorg

    The results presented here (including the assessment of a new tool – inhibitory trees) offer valuable tools for researchers in the areas of data mining, knowledge discovery, and machine learning, especially those whose work involves decision tables with many-valued decisions. The authors consider …

  2. Mikhail Moshkov, Igor Chikalov, Mohammad Azad, Fawaz Alsolami - Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions, E-bok. Tillgänglighet: Lägg i varukorg

    Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions

    Av Mikhail Moshkov, Igor Chikalov m. fl.

    E-bok, 2019

    1413 kr

    Lägg i varukorg

    The results presented here (including the assessment of a new tool – inhibitory trees) offer valuable tools for researchers in the areas of data mining, knowledge discovery, and machine learning, especially those whose work involves decision tables with many-valued decisions. The authors consider …

  3. Fawaz Alsolami, Mohammad Azad, Igor Chikalov, Mikhail Moshkov - Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions, Häftad. Tillgänglighet: Lägg i varukorg

    Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions

    Av Fawaz Alsolami, Mohammad Azad m. fl.

    Häftad, 2020

    1095 kr

    Lägg i varukorg

    The results presented here (including the assessment of a new tool – inhibitory trees) offer valuable tools for researchers in the areas of data mining, knowledge discovery, and machine learning, especially those whose work involves decision tables with many-valued decisions. The authors consider …