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  1. 1
    Efficient prime-based method for interactive mining of frequent patterns.

    Efficient prime-based method for interactive mining of frequent patterns. by Mohammad Hossein, Nadimi Shahraki, Mustapha, Norwati, Sulaiman, Md. Nasir, Mamat, Ali

    Published 2011
    “…During the mining process, the mining algorithm reduces the number of candidate patterns and comparisons by using a new candidate set called candidate head set and several efficient pruning techniques. …”
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  2. 2
    A partition based feature selection approach for mixed data clustering / Ashish Dutt

    A partition based feature selection approach for mixed data clustering / Ashish Dutt by Ashish , Dutt

    Published 2020
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  3. 3
    Building norms-adaptable agents from Potential Norms Detection Technique (PNDT)

    Building norms-adaptable agents from Potential Norms Detection Technique (PNDT) by Mahmoud, Moamin Ahmed, Ahmad, Mohd Sharifuddin, Ahmad, Azhana, Mustapha, Aida, Mohd Yusoff, Mohd Zaliman, Abdul Hamid, Nurzeatul Hamimah

    Published 2013
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  4. 4
    A Rough Set-Based Approach for Identifying and Replacing Missing Concepts in Incomplete Sentences in Computer Domain Texts

    A Rough Set-Based Approach for Identifying and Replacing Missing Concepts in Incomplete Sentences in Computer Domain Texts by Nur Faiqah ‘Aqilah binti Fuaad

    Published 2026
    thesis::master thesis
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  5. 5
    Class binarization with self-adaptive algorithm to improve human activity recognition

    Class binarization with self-adaptive algorithm to improve human activity recognition by Zainudin, Muhammad Noorazlan Shah

    Published 2018
    “…Therefore, feature selection using Relief-f with self-adaptive Differential Evolution (rsaDE) algorithm is proposed to select the most significant features. …”
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  6. 6
    Named entity recognition using a new fuzzy support vector machine.

    Named entity recognition using a new fuzzy support vector machine. by Mansouri, Alireza, Affendy, Lilly Suriani, Mamat, Ali

    Published 2008
    “…Some of the Machine learning algorithms used in NER methods are, support vector machine(SVM), Hidden Markov Model, Maximum Entropy Model (MEM) and Decision Tree. …”
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  7. 7
    Stylometric authorship balanced attribution prediction method

    Stylometric authorship balanced attribution prediction method by Mustafa, Tareef Kamil

    Published 2011
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  8. 8
    The evolution of spectral analysis of surface wave method – a review

    The evolution of spectral analysis of surface wave method – a review by Mannan Mitu, Sadia Mannan Mitu, Abd. Rahman, Norinah, Mohd Taib, Aizat, Ramli, Ahmad Bukhari, Abang Hasbollah, Dayang Zulaika

    Published 2021
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  9. 9
    Transliteration engine for union catalogue of Malay manuscripts in Malaysia: E-Jawi version 3

    Transliteration engine for union catalogue of Malay manuscripts in Malaysia: E-Jawi version 3 by Abdul Razak, Sitti Munirah, Abu Seman, Muhamad Sadry, Wan Mamat, Wan Ali @ Wan Yusoff, Mohammad Noor, Noor Hasrul Nizan

    Published 2018
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  10. 10
    A grid enabled E-theses and dissertations repository system

    A grid enabled E-theses and dissertations repository system by Por, L.Y., Ong, S.Y., Beh, D., Ismail, M.

    Published 2002
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  11. 11
    Application of data mining techniques for economic evaluation of air pollution impact and control

    Application of data mining techniques for economic evaluation of air pollution impact and control by Lukman, Iing

    Published 2007
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  12. 12
    Modifying iEclat algorithm for infrequent patterns mining

    Modifying iEclat algorithm for infrequent patterns mining by Julaily Aida, J., Mustafa, M.

    Published 2018
    “…Pattern ruining has been extensively studied in research due to its successful application in several data mining scenarios. …”
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  13. 13
    Parallel algorithms on some numerical techniques using PVM platform on a cluster of workstations

    Parallel algorithms on some numerical techniques using PVM platform on a cluster of workstations by Alias, Norma, Mohamed, Mohd. Salleh Sahimi, Abdullah, Abdul Rahman

    Published 2002
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  14. 14
    Comparison Between Genetic Algorithm and Electromagnetism-Like Algorithm for Solving Inverse Kinematics

    Comparison Between Genetic Algorithm and Electromagnetism-Like Algorithm for Solving Inverse Kinematics by Yap, David F. W.

    Published 2012
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  15. 15
    Modifying iEclat algo ithm for infrequent patterns mining

    Modifying iEclat algo ithm for infrequent patterns mining by Julaily Aida, Jusoh, Mustafa, Man

    Published 2018
    “…Pattern ruining has been extensively studied in research due to its successful application in several data mining scenarios. …”
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  16. 16
    Three-term backpropagation algorithm for classification problem

    Three-term backpropagation algorithm for classification problem by Saman, Fadhlina Izzah

    Published 2006
    “…Standard Backpropagation Algorithm (BP) is a widely used algorithm in training Neural Network that is proven to be very successful in many diverse application. …”
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  17. 17
    Cryptography: A New Approach of Classical Hill Cipher

    Cryptography: A New Approach of Classical Hill Cipher by Abdul Rahman, Mohd Nordin, Yusof, Mohd Kamir, Abidin @ Bharun, Ahmad Faisal Amri, Mohamad Usop, Nor Surayati

    Published 2013
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  18. 18
    Cluster Analysis of Data Points using Partitioning and Probabilistic Model-based Algorithms

    Cluster Analysis of Data Points using Partitioning and Probabilistic Model-based Algorithms by Raheem, Ajiboye Adeleke, Hauwau, Isah-Kebbe, O., Oladele Tinuke

    Published 2014
    “…Experiments were conducted using k-means, k-medoids and EM-algorithm. The study implements each algorithm using RapidMiner Software and the results generated was validated for correctness in accordance to the concept of external criteria method. …”
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  19. 19
    The fusion of particle swarm optimization (PSO) and interior point method (IPM) as cooperative movement control algorithm in Swarm Robotics / Dada Emmanuel Gbenga

    The fusion of particle swarm optimization (PSO) and interior point method (IPM) as cooperative movement control algorithm in Swarm Robotics / Dada Emmanuel Gbenga by Dada Emmanuel, Gbenga

    Published 2016
    “…It is demonstrated in the literature that methods that hybridize PSO and some other optimisation algorithm have a better performance over the standard PSO algorithm. …”
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  20. 20
    Neural Network Training Using Hybrid Particle-move Artificial Bee Colony Algorithm for Pattern Classification

    Neural Network Training Using Hybrid Particle-move Artificial Bee Colony Algorithm for Pattern Classification by Nuaimi, Zakaria Noor Aldeen Mahmood Al, Abdullah, Rosni

    Published 2017
    “…Traditional neural networks algorithms such as Back Propagation (BP) were used for ANNT, but they have some drawbacks such as computational complexity and getting trapped in the local minima. …”
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