Search Results - (( java application stemming algorithm ) OR ( trust classification based algorithm ))

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  1. 1

    Individual And Ensemble Pattern Classification Models Using Enhanced Fuzzy Min-Max Neural Networks by F. M., Mohammed

    Published 2014
    “…A useful trust measurement method known as Certified Belief in Strength (CBS) is developed and incorporated into the ensemble model for exploiting the predictive performances of different EFMM-based networks.…”
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    Thesis
  2. 2

    BIOLOGICAL INSPIRED INTRUSION PREVENTION AND SELF-HEALING SYSTEM FOR CRITICAL SERVICES NETWORK by MOHAMED AHMED ELSHEIK, MUNA ELSADIG

    Published 2011
    “…Secondly, specification language, system design, mathematical and computational models for IPS and SH system are established, which are based upon nonlinear classification, prevention predictability trust, analysis, self-adaptation and self-healing algorithms. …”
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  3. 3

    Hybrid genetic random forest algorithm for the identification of ISI-indexed articles / Mohammadreza Moohebat by Mohammadreza, Moohebat

    Published 2017
    “…After ensuring that the classification technique was able to accomplish this work, Hybrid Genetic Random Forests (HGRF) was introduced as a new ensemble classifier based on a Random Forest algorithm, but altered slightly with some innovations. …”
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  4. 4
  5. 5

    Hybrid Models Of Fuzzy Artmap And Qlearning For Pattern Classification by Navan, Farhad Pourpanah

    Published 2015
    “…The outcomes indicate the effectiveness of QFAM-based models in tackling pattern classification tasks. …”
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  6. 6

    Classification and visualization of e-commerce product reviews comparison using support vector machine / Nuwairah Aimi Ahmad Kushairi by Ahmad Kushairi, Nuwairah Aimi

    Published 2023
    “…Therefore, this project aims 1) to design a web-based system that can classify the comparison of useful and not useful product reviews from Shopee using the Support Vector Machine (SVM) algorithm and visualize the comparison, 2) to develop the designed system, and 3) to test the functionality and usability of the system. …”
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  7. 7