Search Results - (evolution OR solution) ((computing techniques) OR (classification technique))

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  1. 1

    Overview of metaheuristic: classification of population and trajectory by Zainul Rashid, Zarina

    Published 2010
    “…Algorithms are used to find the solutions through the computer program. Some algorithms can be defined if the developer of the system has problem specific knowledge to the solution. …”
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    Monograph
  2. 2

    A review of homogenous ensemble methods on the classification of breast cancer data by Nur Farahaina, Idris, Mohd Arfian, Ismail

    Published 2024
    “…Data mining is a concept established by computer scientists to lead a secure and reliable classification and deduction of data. …”
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    Article
  3. 3

    A review of homogenous ensemble methods on the classification of breast cancer data by Nur Farahaina, Idris, Mohd Arfian, Ismail

    Published 2024
    “…Data mining is a concept established by computer scientists to lead a secure and reliable classification and deduction of data. …”
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    Article
  4. 4

    Requirements identification using high level carotene text classification concept for distributed agile team communication by Zainal Abdin, Nor Hidayah

    Published 2019
    “…For the objectives of this study, we identify the text classification technique for requirements identification in text messages, design the solution and evaluate the technique. …”
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    Thesis
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    Rule pruning techniques in the ant-miner classification algorithm and its variants: A review by Al-Behadili, Hayder Naser Khraibet, Ku-Mahamud, Ku Ruhana, Sagban, Rafid

    Published 2018
    “…Rule pruning is a framework to avoid overfitting.Furthermore, we find that the influence of rule pruning in ant-miner classification algorithms is equivalent to that of local search in stochastic methods when they aim to search for more improvement for each candidate solution.In this paper, we review the history of the pruning techniques in ant-miner and its variants.These techniques are classified into post-pruning, pre-pruning and hybrid-pruning.In addition, we compare and analyse the advantages and disadvantages of these methods. …”
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    Conference or Workshop Item
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    Email spam classification based on deep learning methods: A review by Tusher, Ekramul Haque, Mohd Arfian, Ismail, Anis Farihan, Mat Raffei

    Published 2025
    “…Deep learning has become a potent collection of techniques for addressing intricate issues such as spam classification in recent times. …”
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    Article
  9. 9

    Deep learning-based item classification for retail automation by Ling, Ji Xiang

    Published 2025
    “…By leveraging the Convolutional Neural Networks (CNNs) and computer vision techniques such as object detection and image segmentation. …”
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    Final Year Project / Dissertation / Thesis
  10. 10

    Stock market turning points rule-based prediction / Lersak Photong … [et al.] by Photong, Lersak, Sukprasert, Anupong, Boonlua, Sutana, Ampant, Pravi

    Published 2021
    “…Results show that the best feature selection is term frequency and trimming of the feature with a frequency greater than 95%. The best news classification approach is based on Deep Learning techniques that provide the most accurate classification. …”
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    Book Section
  11. 11

    Fighting video analysis employing computer vision technique by Foo, Wen Shun

    Published 2022
    “…This project is about analysing and classifying the fighting video from the UCF_Crimes dataset to explore solutions to detect fighting events employing computer vision technique. …”
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    Final Year Project / Dissertation / Thesis
  12. 12

    An intra-severity classification and adaptation technique to improve dysarthric speech recognition accuracy / Bassam Ali Qasem Al-Qatab by Bassam Ali Qasem, Al-Qatab

    Published 2020
    “…The speaker adaptation (SA) technique is one of the solutions to overcome the data sparsity issue of ASR for dysarthric speakers. …”
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    Thesis
  13. 13

    A framework for malware identification based on behavior by Mohamad Fadli, Zolkipli

    Published 2012
    “…Malware is one of the major security threats in a computer and network environment. Modem malware embeds several techniques in order to complicate malware defence. …”
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    Thesis
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    Improving Accuracy of Imbalanced Clinical Data Classification Using Synthetic Minority Over-Sampling Technique by Mumtazimah, Mohamad, Mohd, F, Abdul Jalil, M, Noora, N.M.M, Ismail, S, Yahya, W.F.F

    Published 2019
    “…Synthetic Minority Over-sampling technique (SMOTE), an over-sampling technique is used in this study for dealing the imbalanced dataset by add the number of instances of a minority class. …”
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    Conference or Workshop Item
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    Fuzzification of epileptic data: an application for prediction and identification of partial seizure by Malik, Aamir Saeed, Nasif, Mohammad Shakir, Kamel , Nidal, Qidwai, U.

    Published 2013
    “…This technique can be used in real-time classification from the EEG signal as it is measured. …”
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    Citation Index Journal
  19. 19

    Classification with degree of importance of attributes for stock market data mining by Khokhar, Rashid Hafeez, Md. Sap, Mohd. Noor

    Published 2004
    “…We present another modification of fuzzy decision tree (FDT) classification techniques that aims to combine symbolic decision trees in data classification with approximate reasoning offered by fuzzy representation. …”
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    Article
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    Enhancing Classification Algorithms with Metaheuristic Technique by Cokro, Nurwinto, Tri Basuki, Kurniawan, Misinem, ., Tata, Sutabri, Yesi Novaria, Kunang

    Published 2024
    “…Meta-heuristic algorithms are search techniques used to solve complexoptimization problems, and these algorithms can help provide reasonable solutions in a shorter time thanexact methods. …”
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    Article