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  1. 1
    An adaptive ant colony optimization algorithm for rule-based classification

    An adaptive ant colony optimization algorithm for rule-based classification by Al-Behadili, Hayder Naser Khraibet

    Published 2020
    “…The algorithm’s performance was compared with other variants of Ant-Miner and state-of-the-art rules-based classification algorithms based on classification accuracy and model complexity. …”
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  2. 2
    A new classifier based on combination of genetic programming and support vector machine in solving imbalanced classification problem

    A new classifier based on combination of genetic programming and support vector machine in solving imbalanced classification problem by Mohd Pozi, Muhammad Syafiq

    Published 2016
    “…Data level based methods are meant to solve the imbalanced classification problem based on the idea of making both classes equal in number. …”
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  3. 3
    An improved associative classification model using fuzzy parameterized soft set-based decision for text classification

    An improved associative classification model using fuzzy parameterized soft set-based decision for text classification by Rohidin, Dede

    Published 2023
    “…One of the potential text classifiers is the well-known associative classification approach. However, the existing associative classification approach is still prone to some limitations especially when dealing with the problem with too many rules in text classification problem. …”
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  4. 4
    An improved associative classification model using fuzzy parameterized soft set-based decision for text classification

    An improved associative classification model using fuzzy parameterized soft set-based decision for text classification by Rohidin, Dede

    Published 2023
    “…One of the potential text classifiers is the well-known associative classification approach. However, the existing associative classification approach is still prone to some limitations especially when dealing with the problem with too many rules in text classification problem. …”
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  5. 5
    A derivative-free optimization method for solving classification problem

    A derivative-free optimization method for solving classification problem by Shabanzadeh, Parvaneh, Abu Hassan, Malik, Leong, Wah June

    Published 2010
    “…There is a training set for each class. Those problems occur in a wide range of human activity. One of the most promising ways to data classification is based on methods of mathematical optimization. …”
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  6. 6
    Several Robust Techniques In Two-Groups Unbiased Linear Classification

    Several Robust Techniques In Two-Groups Unbiased Linear Classification by Okwonu, Friday Zinzendoff

    Published 2013
    “…This thesis is written based on the limitations and weaknesses of the Fisher linear classification analysis and its robust version based on the minimum covariance determinant estimator. …”
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  7. 7
    Classification o f excessive water usage based on a Quantifier Fuzzy Classification System / Halimatusakina Omar and Hanis Wahidah Uzi

    Classification o f excessive water usage based on a Quantifier Fuzzy Classification System / Halimatusakina Omar and Hanis Wahidah Uzi by Omar, Halimatusakina, Uzi, Hanis Wahidah

    Published 2018
    “…A fuzzy quantifier based classification system or known as Fuzzy QSBA is proposed to be used as a method to generate and simplifies rules. …”
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  8. 8
    Multiclass classification for chest x-ray images based on lesion location in lung zones

    Multiclass classification for chest x-ray images based on lesion location in lung zones by Saad, Mohd Nizam, Muda, Zurina, Sahari, Noraidah, Abd Hamid, Hamzaini

    Published 2015
    “…Therefore, it is difficult to classify CXR images which contain many image features.Realizing the problem, we proposed an application method for multiclass classification with SVM to the CXR images based on the lesion position in the lung zones.The multiclass classification application is executed on the CXR images taken from Japan Society of Radiology Technology dataset.Lesion coordinates were selected as the classification input while the lung zones becomes the labels. …”
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  9. 9
    Improved Artificial Neural Network Classification Model based Metaheuristic Optimization for Handwritten Character Recognition

    Improved Artificial Neural Network Classification Model based Metaheuristic Optimization for Handwritten Character Recognition by Muhammad Arif, Mohamad, Muhammad Aliif, Ahmad

    Published 2024
    “…Finally, the proposed FPA-ANN classification model is analysed based on generated confusion matrix and evaluated performance of the classification model in terms of precision, sensitivity, specificity, F-score and accuracy.…”
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  10. 10
    Classification of Qur’anic topics based on imbalanced classification

    Classification of Qur’anic topics based on imbalanced classification by Arkok, Bassam, Khedher, Akram M Z M

    Published 2020
    “…Many studies classified Qur’anic verses, which depended on the traditional classification. However, no study classified Qur’anic topics based on the techniques of imbalanced classification. …”
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  11. 11
    A De-noising Scheme for Enhancing Power Quality Problem Classification System Based on Wavelet Transform and Rule-Based Method

    A De-noising Scheme for Enhancing Power Quality Problem Classification System Based on Wavelet Transform and Rule-Based Method by Keow, Chuah Heng, Nallagownden, Perumal, K. S. , Rama Rao

    Published 2011
    “…Using the de-noising scheme proposed in this paper, a higher tolerance to noise can be achieved by the Power Quality Problem Classification system.…”
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  12. 12
    Grid base classifier in comparison to nonparametric methods in multiclass classification

    Grid base classifier in comparison to nonparametric methods in multiclass classification by Moheb Pour, Majid Reza, Jantan, Adznan, Saripan, M. Iqbal

    Published 2010
    “…The method was developed based on the grid structure which was done to create a powerful method for classification. …”
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  13. 13
    Logistic regression methods for classification of imbalanced data sets

    Logistic regression methods for classification of imbalanced data sets by Santi Puteri Rahayu, -

    Published 2012
    “…Classification of imbalanced data sets is one of the important researches in Data Mining community, since the data sets in many real-world problems mostly are imbalanced class distribution. …”
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  14. 14
    Multi-label classification based ensemble learning for human activity recognition in smart home

    Multi-label classification based ensemble learning for human activity recognition in smart home by Jethanandani, Manan, Sharma, Abhishek, Perumal, Thinagaran, Chang, Jieh Ren

    Published 2020
    “…Furthermore, the Majority Voting Ensemble Classifier method based on the ensemble learning is developed for the activity recognition problem. …”
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  15. 15
    Power quality problem classification based on Wavelet Transform and a Rule-Based method

    Power quality problem classification based on Wavelet Transform and a Rule-Based method by Nallagownden, Perumal

    Published 2010
    “…This paper describes a Wavelet Transform and Rule-Based method for detection and classification of various events of power quality disturbances. …”
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  16. 16
    MODIFIED AIS-BASED CLASSIFIER FOR MUSIC GENRE CLASSIFICATION

    MODIFIED AIS-BASED CLASSIFIER FOR MUSIC GENRE CLASSIFICATION by Muda, N. A.

    Published 2010
    “…This has led to various studies that focused on finding solutions to solve this problem. Analyzing music contents (often referred as content- based analysis) is one of many ways to identify and group similar songs together. …”
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  17. 17
    Text classification using modified multi class association rule

    Text classification using modified multi class association rule by Kamaruddin, Siti Sakira, Yusof, Yuhanis, Husni, Husniza, Al Refai, Mohammad Hayel

    Published 2016
    “…This paper presents text classification using a modified Multi Class Association Rule Method.The method is based on Associative Classification which combines classification with association rule discovery. …”
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  18. 18
    Grid-Based Classifier as a Replacement for Multiclass Classifier in a Supervised Non-Parametric Approach

    Grid-Based Classifier as a Replacement for Multiclass Classifier in a Supervised Non-Parametric Approach by Moheb Pour, Majid Reza

    Published 2009
    “…The method was developed based on the grid structure, whereby it was done to create a successful method of improving performance in classification. …”
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  19. 19
    Medication Errors: A Review of Classifications

    Medication Errors: A Review of Classifications by Praneetha Palasuberniam, Chin Suliong, Viknesvaran Thangiah, Urban John Arnold D'Souzaa

    Published 2018
    “…This makes it next to impossible to fully curb this continual problem. There are a number of classifications of MEs, based on mistakes and errors based on skills, based on the mistakes itself, based on symptoms and based on the stages of drug delivery system. …”
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  20. 20
    Mutable composite firefly algorithm for gene selection in microarray based cancer classification

    Mutable composite firefly algorithm for gene selection in microarray based cancer classification by Fajila, Mohamed Nisper Fathima

    Published 2022
    “…A computational approach for gene selection based on microarray data analysis has been applied in many cancer classification problems. …”
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