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  1. 1
    A performance analysis of association rule mining algorithms

    A performance analysis of association rule mining algorithms by Fageeri, S.O., Ahmad, R., Alhussian, H.

    Published 2016
    “…In this paper, we evaluate the performance of association rule mining algorithms in-terms of execution times and memory usage using the CPU profiler of Java VisualVM. …”
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  2. 2
    SMALL-SCALE PRIMARY SCHOOL TIMETABLING PROBLEM

    SMALL-SCALE PRIMARY SCHOOL TIMETABLING PROBLEM by Yong, Phang How

    Published 2019
    “…The main objective of this study is to propose a two-staged heuristic solution for Primary School Timetabling whereby the algorithm should enable combination of classes from different classes of students and reduce the number of subjects to be taught in a day and develop a simulation model for Primary School Timetabling Problem. …”
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    Final Year Project Report / IMRAD
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  3. 3
    A Novel Medical Image De-noising Algorithm for Efficient Diagnosis in Smart Health Environment

    A Novel Medical Image De-noising Algorithm for Efficient Diagnosis in Smart Health Environment by Mahboob, K., Khursheed, S., Jameel, S.M., Uddin, V., Shukla, S., Pabani, J.K.

    Published 2022
    “…These novel high order algorithms de-noise images by prominent the signals and noise because it takes the high order odd moment of the medical image. …”
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  4. 4
    A Novel Medical Image De-noising Algorithm for Efficient Diagnosis in Smart Health Environment

    A Novel Medical Image De-noising Algorithm for Efficient Diagnosis in Smart Health Environment by Mahboob, K., Khursheed, S., Jameel, S.M., Uddin, V., Shukla, S., Pabani, J.K.

    Published 2022
    “…These novel high order algorithms de-noise images by prominent the signals and noise because it takes the high order odd moment of the medical image. …”
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  5. 5
    Numerical investigation of treated brain glioma model using a two-stage successive over-relaxation method

    Numerical investigation of treated brain glioma model using a two-stage successive over-relaxation method by Hussain, A., Muthuvalu, M.S., Faye, I., Zafar, M., Inc, M., Afzal, F., Iqbal, M.S.

    Published 2023
    “…Cancer develops in the brain or inside the skull when aberrant and odd cells proliferate in the brain. …”
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  6. 6
    Determining malaria risk factors in Abuja, Nigeria using various statistical approaches

    Determining malaria risk factors in Abuja, Nigeria using various statistical approaches by Segun, Oguntade Emmanuel

    Published 2018
    “…The optimal model based on the parsimony principles was obtained from the hill climbing algorithm with score metrics. …”
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    Thesis
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  7. 7
    Understanding the occurrence of metastatic breast cancer through clinical, phenotype and genotype data, and the employment of machine learning / Nadia Jalaludin

    Understanding the occurrence of metastatic breast cancer through clinical, phenotype and genotype data, and the employment of machine learning / Nadia Jalaludin by Jalaludin, Nadia

    Published 2023
    “…For objective (b), prediction model was generated based on the outcome of (a) by using the Random Forest (RF) algorithm and validated by 5-fold cross validation. …”
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  8. 8
    Ethnicity and Dietary Practices as Colorectal Cancer Risk Predictors: A Retrospective Case-control Study in Sabah, Malaysia

    Ethnicity and Dietary Practices as Colorectal Cancer Risk Predictors: A Retrospective Case-control Study in Sabah, Malaysia by Wen-Li Tee, Fredie Robinson, Richard Avoi, Prabakaran Dhanaraj, Nirmal Kaur, Nur Hasanah Sanudin

    Published 2023
    “…Logistic regression analyses were performed to determine significant predictors of CRC. Prediction model was computed using Logistic Regression (LR) and C5 Decision Tree algorithms and compared. …”
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  9. 9
    Ranking-based pruning and weighted support model for gene association in frequent itemsets / Sofianita Mutalib

    Ranking-based pruning and weighted support model for gene association in frequent itemsets / Sofianita Mutalib by Mutalib, Sofianita

    Published 2019
    “…It proposes a strategy of Ranking-based Pruning of Items (RPI) for SNPs. Next, the development of Weighted Support Model (WSM) was done to search for interesting itemsets. …”
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