Search Results - (( data estimation mining algorithm ) OR ( parallel evaluation path algorithm ))

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    Tree-based contrast subspace mining method by Florence Sia Fui Sze

    Published 2020
    “…In addition, the tree-based method is extended to mine contrast subspaces of query object in categorical data. …”
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    Thesis
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    Estimating 1-MCP application for Kampuchea guava with data mining technology by Ding, Phebe, Khor, Kor Chin

    Published 2018
    “…In this preliminary study, data mining (DM) technology was utilized to achieve fast estimation of 1-MCP application based on different qualities of 'Kampuchea' Guava. …”
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    Article
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    Using language-based search in mining large software repositories by Awang Abu Bakar, Normi Sham

    Published 2011
    “…The retrieved data were later used to estimate the quality of the open source software.…”
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    Proceeding Paper
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    Using language-based search in mining large software repositories by Awang Abu Bakar, Normi Sham

    Published 2011
    “…The retrieved data were later used to estimate the quality of the open source software.…”
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    Article
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    Datasets Size: Effect on Clustering Results by Raheem, Ajiboye Adeleke, Ruzaini, Abdullah Arshah, Hongwu, Qin

    Published 2013
    “…This gives a wider acceptance to data mining, being an interdisciplinary field that implements algorithm on stored data with a view to discovering hidden knowledge. …”
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    Conference or Workshop Item
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    A test case generation framework based on UML statechart diagram by Salman, Yasir Dawood

    Published 2018
    “…Current studies also hardly address loops and parallel paths issues, and achieved low coverage criteria. …”
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    Thesis
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    Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli by Seyed Hamidreza , Aghay Kaboli

    Published 2018
    “…This merit is provided by balancing the exploitation of solution structure and exploration of its appropriate weighting factors through use of a robust and efficient optimization algorithm in learning process of GEP approach. To assess the applicability and accuracy of the proposed method for long-term electrical energy consumption, its estimates are compared with those obtained from artificial neural network (ANN), support vector regression (SVR), adaptive neuro-fuzzy inference system (ANFIS), rule-based data mining algorithm, GEP, linear, quadratic and exponential models optimized by particle swarm optimization (PSO), cuckoo search algorithm (CSA), artificial cooperative search (ACS) algorithm and backtracking search algorithm (BSA). …”
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    Thesis
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