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  1. 1
    Data mining in computer auditing / Hiromi Wong, Siew Lan and Valery Fred Lee

    Data mining in computer auditing / Hiromi Wong, Siew Lan and Valery Fred Lee by Hiromi , Wong, Siew , Lan, Valery, Fred Lee

    Published 2004
    “…This evolution provokes the emergence of data mining tools, which perform data analysis and extract data patterns. …”
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    Thesis
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  2. 2
    Adaptive federated learning model with unsupervised autoencoder-based reconstruction for imbalanced medical image classification

    Adaptive federated learning model with unsupervised autoencoder-based reconstruction for imbalanced medical image classification by Zainal Abidin, Nadzurah, Ismail, Amelia Ritahani, ,

    Published 2026
    “…These consistent gains indicate the framework’s scalability and robustness for federated medical image classification under real- world imbalance conditions.…”
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  3. 3
    Global Trends of Educational Data Mining in Online Learning

    Global Trends of Educational Data Mining in Online Learning by Chen, Chwen Jen, Teh, Chee Siong, Dexter Sigan, John

    Published 2023
    “…Educational data mining (EDM) in online learning involves data mining techniques to analyze data from online environments to gain insights into student behavior, performance, and engagement. …”
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  4. 4
    A review of homogenous ensemble methods on the classification of breast cancer data

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

    Published 2024
    “…This technique reinforced the use of multiple classifiers in the model. …”
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  5. 5
    A review of homogenous ensemble methods on the classification of breast cancer data

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

    Published 2024
    “…This technique reinforced the use of multiple classifiers in the model. …”
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  6. 6
    Classification with degree of importance of attributes for stock market data mining

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

    Published 2004
    “…Many statistical and data mining techniques have been used to predict time series stock market. …”
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  7. 7
    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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  8. 8
    A New Hybrid K-Means Evolving Spiking Neural Network Model Based on Differential Evolution

    A New Hybrid K-Means Evolving Spiking Neural Network Model Based on Differential Evolution by Abdulrazak Yahya, Saleh, Haza Nuzly, Abdull Hamed, Siti Mariyam, Shamsuddin, Ashraf, Osman Ibrahim

    Published 2018
    “…Clustering is one of the essential unsupervised learning techniques in Data Mining. In this paper, a new hybrid (K-DESNN) approach to combine differential evolution and K-means evolving spiking neural network model (K-means ESNN) for clustering problems has been proposed. …”
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  9. 9
    Classification of Immunosignature Using Random Forests for Cancer Diagnosis

    Classification of Immunosignature Using Random Forests for Cancer Diagnosis by Zarzar, Mouayad, Razak, Eliza, Htike@Muhammad Yusof, Zaw Zaw, Yusof, Faridah

    Published 2015
    “…To attain this essential research purpose, a minimum set of genes that can assure higher performance in classification using data mining algorithms need to be detected. The evolution of authoritative immunofingerprint mining technology is exerting a growing influence on comprehensive cancer diagnosis biology. …”
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  10. 10
    Global trends of educational data mining in online learning

    Global trends of educational data mining in online learning by Nie Hui Ling, Chwen Jen Chen, Chee Siong Teh, Dexter Sigan John, Looi Chin Ch’ng, Yoon Fah Lay

    Published 2023
    “…Educational data mining (EDM) in online learning involves data mining techniques to analyze data from online environments to gain insights into student behavior, performance, and engagement. …”
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  11. 11
    Change detection of green spaces in Putrajaya using remote sensing technique

    Change detection of green spaces in Putrajaya using remote sensing technique by Azhar, Muhammad Nabil Asyraf

    Published 2019
    “…The study shows the effectiveness, accuracy of remote sensing technique in monitoring the land cover change.…”
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  12. 12
    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
    “…For that purpose, we use data mining techniques. Data mining techniques applied in this thesis were: 1) Group method of data handling (GMDH), originally from engineering, introducing principles of evolution - inheritance, mutation and selection - for generating a network structure systematically to develop the automatic model, synthesis, and its validation; 2) The weighted least square (WLS) and step wise regression were also applied for some cases; 3) The classification-based association rules were applied. …”
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  13. 13
    Suspicious online car advertisement detector using principle component analysis (PCA) / Fathiah Husna Firdaus

    Suspicious online car advertisement detector using principle component analysis (PCA) / Fathiah Husna Firdaus by Firdaus, Fathiah Husna

    Published 2019
    “…Hence, this study is to propose suspicious advertisement detector by using data mining technique which is Principal Component Analysis (PCA). …”
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  14. 14
    Accelerator-based human activity recognition using voting technique with NBTree and MLP classifiers

    Accelerator-based human activity recognition using voting technique with NBTree and MLP classifiers by Azmi M.S.M., Sulaiman M.N.

    Published 2023
    “…To evaluate the proposed voting technique, the performance of selected individual classifiers and existing voting technique was first examined, followed by the experiment to determine the performance of the proposed model. …”
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  15. 15
    Embedded Fuzzy Classifier for Detection and Classification of Preseizure State Using Real EEG Data

    Embedded Fuzzy Classifier for Detection and Classification of Preseizure State Using Real EEG Data by Qidwai, Uvais, Malik, Aamir Saeed, Shakir, Mohamed

    Published 2013
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  16. 16
    The evolution of Airbnb research: a systematic literature review using structural topic modeling

    The evolution of Airbnb research: a systematic literature review using structural topic modeling by Ding, Kai, Niu, Yue, Choo, Wei Chong

    Published 2023
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  17. 17
    Microstructural evolution and mechanical behavior of powder metallurgy based SiC/Al–Mg-Sc-Zr nanocomposite subjected to multi-pass friction stir processing

    Microstructural evolution and mechanical behavior of powder metallurgy based SiC/Al–Mg-Sc-Zr nanocomposite subjected to multi-pass friction stir processing by G. Q., Huang, J., Wu, W. T., Hou, L. H., Shah, A. R. H., Midawi, A. P., Gerlich, Y. F., Shen, F. Q., Meng

    Published 2021
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  18. 18
    Introducing new statistical shape based and texture feature extraction methods in the plant species recognition system

    Introducing new statistical shape based and texture feature extraction methods in the plant species recognition system by Seyed Mohammad Hussein, Ahmad, Siti Anom, Hassan, Mohd Khair, Ishak, Asnor Juraiza

    Published 2013
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  19. 19
    Geographic Information System (GIS) based Analytical Hierarchy Process (AHP) for landslide hazard zones in Hulu Langat, Selangor / Nur Afiqah Norddin

    Geographic Information System (GIS) based Analytical Hierarchy Process (AHP) for landslide hazard zones in Hulu Langat, Selangor / Nur Afiqah Norddin by Norddin, Nur Afiqah

    Published 2023
    “…The weighted were calculated to generate and produce the classification of landslide hazard zones. As a conclusion, integration of GIS and MCDM can be an important technique to locate and map landslide hazard zones.…”
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  20. 20
    Overview and future opportunities of sentiment analysis approaches for big data

    Overview and future opportunities of sentiment analysis approaches for big data by Mohd Sharef, Nurfadhlina, Mat Zin, Harnani, Nadali, Samaneh

    Published 2016
    “…SA studies are predicted to be expanded into approaches that utilise scalability, possess high adaptability for source variation, velocity and veracity to maximise value mining for the benefit of the users.…”
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