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  1. 1

    Classification of breast cancer disease using bagging fuzzy-id3 algorithm based on fuzzydbd by Nur Farahaina, Idris

    Published 2022
    “…One of the most powerful machine learning methods to handle classification problems is the decision tree. …”
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    Thesis
  2. 2
  3. 3

    An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

    Published 2015
    “…Recently, various techniques based on different algorithms have been developed. However, the classification accuracy and computational cost are not satisfied. …”
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    Thesis
  4. 4

    Study on crack detection using image processing techniques and deep learning – a survey by Saleem, Muhammad Asif, Senan, Norhalina, Ahmad, Rehan

    Published 2020
    “…So it very well may be done consequently by utilizing image processing. Deep learning algorithms have been used for the solution of multiple issues in the area of image classification. …”
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    Article
  5. 5

    Arabic Calligraphy Classification using Triangle Model for Digital Jawi Paleography Analysis by Azmi, Mohd Sanusi, Muda, A. K.

    Published 2011
    “…The features are extracted from the triangle to represent the Jawi (Arabic writing in Malay language) characters. Experiments have been conducted using seven Unsupervised Machine Learning (UML) algorithms and one Supervised Machine Learning (SML). …”
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    Conference or Workshop Item
  6. 6

    Arabic Calligraphy Classification using Triangle Model for Digital Jawi Paleography Analysis by Mohd Sanusi, Azmi, Azah Kamilah, Muda

    Published 2011
    “…The features are extracted from the triangle to represent the Jawi (Arabic writing in Malay language) characters. Experiments have been conducted using seven Unsupervised Machine Learning (UML) algorithms and one Supervised Machine Learning (SML). …”
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  7. 7
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    CHINESE CHARACTER RECOGNITION USING SUPPORT VECTOR MACHINE by Baharum A., Ismail R., Wahab S.H.A., Deris F.D., Noor N.A.M., Kasihmuddin M.S.M.

    Published 2023
    “…Chinese characters can be considered difficult because they have many categories, complex character structures, similarities between characters, and various fonts or writing styles. There are many known machine learning algorithms for character recognition, but not all can classify Chinese characters with high speed and accuracy. …”
    Article
  9. 9

    Analysis of Sentiment Based on Opinions from the 2019 Presidential Election by Nurul Adha Oktarini, Saputri, Misinem, ., Khoirul, Zuhri

    Published 2024
    “…This algorithm is well-suited for text classification tasks due to its simplicity and efficiency in handling large datasets. …”
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  10. 10

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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    Article
  11. 11

    Detection on ambiguous software requirements specification written in malay using machine learning by Zahrin, Mohd Firdaus

    Published 2017
    “…Four (4) algorithms have been evaluated to find the suitable classification algorithm for this purpose. …”
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    Thesis
  12. 12

    Features Extraction of Arabic Calligraphy using extended Triangle Model for Digital Jawi Paleography Analysis by Mohd Sanusi, Azmi, Muda, A. K., Khadijah Wan, Mohd Ghazali

    Published 2013
    “…For further verification, two Supervised Machine Learning (SML) and three Unsupervised Machine Learning (UML) algorithms were experimented. …”
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    Article
  13. 13
  14. 14

    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

    Published 2022
    “…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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    Thesis
  15. 15

    Ensemble learning using multi-objective optimisation for arabic handwritten words by Ghadhban, Haitham Qutaiba

    Published 2021
    “…It is a widespread and computationally costly function due to cursive writing, a massive number of words, and writing style. …”
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    Thesis
  16. 16

    Mining Sequential Patterns Using I-PrefixSpan by Dhany , Saputra, Rambli Dayang, R.A., Foong, Oi Mean

    Published 2007
    “…In this paper, we propose an improvement of pattern growth-based PrefixSpan algorithm, called I-PrefixSpan. The general idea of I-PrefixSpan is to use the efficient data structure for general tree-like framework and separator database to reduce the execution time and memory usage. …”
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    Conference or Workshop Item
  17. 17

    AI powered asthma prediction towards treatment formulation: an android app approach by Murad, Saydul Akbar, Adhikary, Apurba, Md Muzahid, Abu Jafar, Sarker, Md Murad Hossain, Khan, Md. Ashikur Rahman, Hossain, Md. Bipul, Bairagi, Anupam Kumar, Masud, Mehedi, Kowsher, Md

    Published 2022
    “…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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    Article
  18. 18

    AI powered asthma prediction towards treatment formulation : An android app approach by Murad, Saydul Akbar, Adhikary, Apurba, Muzahid, Abu Jafar Md, Sarker, Md. Murad Hossain, Khan, Md. Ashikur Rahman, Hossain, Md. Bipul, Bairagi, Anupam Kumar, Masud, Mehedi, Kowsher, Md.

    Published 2022
    “…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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    Article
  19. 19

    A New Swarm-Based Framework for Handwritten Authorship Identification in Forensic Document Analysis by Draman @ Muda, Azah Kamilah, Choo, Yun Huoy, Draman @ Muda, Noor Azilah

    Published 2014
    “…Many researches have been done to develop algorithms for extracting good features that can reflect the authorship with good performance. …”
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    Book Chapter
  20. 20

    A new swarm-based framework for handwritten authorship identification in forensic document analysis by Pratama, Satrya Fajri, Draman @ Muda, Azah Kamilah, Choo, Yun Huoy, Draman @ Muda, Noor Azilah

    Published 2014
    “…Many researches have been done to develop algorithms for extracting good features that can reflect the authorship with good performance. …”
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    Book Chapter