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  1. 1
    The study of stemming algorithm for Malay words that start with the letter 'B' from translated Quran documents / Azriana Ahmad

    The study of stemming algorithm for Malay words that start with the letter 'B' from translated Quran documents / Azriana Ahmad by Ahmad, Azriana

    Published 1999
    “…The performance of this Malay stemming algorithm is tested using translated Quran documents and Malay dictionary. …”
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  2. 2
    Study of stemming algorithm for Malay words which begin with alphabets 'M' / Mohd Zawawi Mohd Yunus

    Study of stemming algorithm for Malay words which begin with alphabets 'M' / Mohd Zawawi Mohd Yunus by Mohd Yunus, Mohd Zawawi

    Published 2000
    “…These stemming algorithm problems will be solved by doing five experiments such as analysis the existing algorithm, do correction in the file, adding rules, correct the stemming algorithm and use two combination rules. …”
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  3. 3
    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm

    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm by Norulazmi, Kasim

    Published 2008
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  4. 4
    To study the performance of stemming algorithm on Malay words beginning with the letter "S" / Rohana Jantan

    To study the performance of stemming algorithm on Malay words beginning with the letter "S" / Rohana Jantan by Jantan, Rohana

    Published 2000
    “…This algorithm is used in the Malay language document that is used is the Quran translated document. …”
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  5. 5
    loformation Retrieval - using Porter Stemming Algorithm

    loformation Retrieval - using Porter Stemming Algorithm by Zulkifly, Zurida Azita

    Published 2006
    “…The objective of this project is to develop a system that will demonstrate the information retrieval using Porter Stemming Algorithm. Problem with information retrieval is to get document that relevant to users query. …”
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  6. 6
    Enhancement of stemming process for malay illicit web content

    Enhancement of stemming process for malay illicit web content by Noor Fatihah , Mazlam

    Published 2012
    “…Hence, the errors from both stemming algorithm were analyzed. Few features were created to encounter the problems occurred in existing stemming algorithm. …”
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  7. 7
    Incorporating stemming algorithm in the Malay information retrieval that employs Thesaurus aproach / Mohd Rosmadi Mokhtar

    Incorporating stemming algorithm in the Malay information retrieval that employs Thesaurus aproach / Mohd Rosmadi Mokhtar by Mokhtar, Mohd Rosmadi

    Published 2001
    “…One of well-known conflation methods is stemming algorithms, where it is used to identify morphological variants. …”
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  8. 8
    To improve stemming algorithm on Malay words begin with alphabet B / Norasiah Ismail

    To improve stemming algorithm on Malay words begin with alphabet B / Norasiah Ismail by Ismail, Norasiah

    Published 2001
    “…The performance on words beginning with letter 'b' of Malay stemming algorithm are tested using 5 experiments. …”
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  9. 9
    Position score weighting technique for mining web content outliers.

    Position score weighting technique for mining web content outliers. by Mustapha, Norwati, Mustapha, Aida

    Published 2013
    “…The stemming algorithm was usually used to reduce derived words to their stem, base or root form. …”
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  10. 10
    Incorporating thesaurus in searching relevant ayat from the translated Al-Quran / Wan Iznif Wan Ibrahim

    Incorporating thesaurus in searching relevant ayat from the translated Al-Quran / Wan Iznif Wan Ibrahim by Wan Ibrahim, Wan Iznif

    Published 2002
    “…One of the well-known conflation algorithms, stemming, is only used to identify morphological variants. …”
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  11. 11
    To enhance existing Malay stemming algorithm starting with the letter 'D' / Mohd Nazril Hafez Mohd Supandi

    To enhance existing Malay stemming algorithm starting with the letter 'D' / Mohd Nazril Hafez Mohd Supandi by Mohd Supandi, Mohd Nazril Hafez

    Published 2000
    “…The performance of a Malay stemming algorithm is tested based on words that beginning with 'd', using 4 experiments. …”
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  12. 12
    The study of existing Malay algorithm performed on words beginning with 'D' / Elly Johana Johan

    The study of existing Malay algorithm performed on words beginning with 'D' / Elly Johana Johan by Johan, Elly Johana

    Published 2000
    “…The performance of a Malay stemming algorithm is tested based on words that beginning with 'd', using two experiments. …”
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  13. 13
    Developing an intelligent system to acquire meeting knowledge in problem-based learning environments

    Developing an intelligent system to acquire meeting knowledge in problem-based learning environments by Chiang, A., Baba, M.S.

    Published 2006
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  14. 14
    An Educational Tool Aimed at Learning Metaheuristics

    An Educational Tool Aimed at Learning Metaheuristics by Kader, Md. Abdul, Jamaluddin, Jamal A., Kamal Z., Zamli

    Published 2020
    “…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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  15. 15
    A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment

    A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment by Ruzita, Ahmad

    Published 2013
    “…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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  16. 16
    Malay Language Stemmer

    Malay Language Stemmer by Khan Ullah, Rehman, Fitri Suraya, Mohamad, Muh Inam, Ulhaq, Shahren Ahmad, Zaidi Adruce, Philip Nuli, Anding, Sajjad, Nawaz Khan, Abdulrazak Yahya, Saleh

    Published 2017
    “…This study designs an algorithm and develops a Malay language stemmer. It is given that most of Malay language stemmers have problems in stemming, as they tended to have dependencies on online dictionaries, which return false results during stemming. …”
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  17. 17
    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde

    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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  18. 18
    Development Of Machine Learning User Interface For Pump Diagnostics

    Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

    Published 2022
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    Monograph
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  19. 19
    AI powered asthma prediction towards treatment formulation: an android app approach

    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
    “…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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  20. 20
    An Arabic hadith text classification model using convolutional neural network and support vector machine / Mohd Irwan Mazlin

    An Arabic hadith text classification model using convolutional neural network and support vector machine / Mohd Irwan Mazlin by Mazlin, Mohd Irwan

    Published 2022
    “…In this study, the CNN-SVM model predicts all correct when using unseen data. Fourth, the model is being tested using different stemming techniques, and it found that the model using non-stemming techniques gives higher accuracy with 92%. …”
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