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  1. 1
    Direct approach for mining association rules from structured XML data

    Direct approach for mining association rules from structured XML data by Abazeed, Ashraf Riad

    Published 2012
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    Thesis
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  2. 2
    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection

    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection by Saputra , Dhany, Rambli, Dayang R.A., Foong, Oi Mean

    Published 2008
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  3. 3
    Study and Implementation of Data Mining in Urban Gardening

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

    Published 2019
    “…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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  4. 4
    Mining Sequential Patterns Using I-PrefixSpan

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

    Published 2007
    “…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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  5. 5
    A web-based implementation of k-means algorithms

    A web-based implementation of k-means algorithms by Lee, Quan

    Published 2022
    “…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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    Final Year Project / Dissertation / Thesis
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  6. 6
    Denosing of natural image based on non-linear threshold filtering using discrete wavelet transformation

    Denosing of natural image based on non-linear threshold filtering using discrete wavelet transformation by Khmag, Asem, Ramli, Abdul Rahman, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Hashim, Shaiful Jahari

    Published 2014
    “…In this study the result shows that the proposed denoising algorithm based on semi-soft threshold algorithm outperforms the traditional wavelet denoising techniques in terms of visual quality and subjective scales, where it preserved the edges, ridges details of the reconstructed image and the quality of visualization shape as well. …”
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  7. 7
    Mining Sequential Patterns using I-PrefixSpan

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

    Published 2008
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    Citation Index Journal
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  8. 8
    Investigating computational thinking among primary school students in Terengganu using visual programming

    Investigating computational thinking among primary school students in Terengganu using visual programming by Osmanullrazi, Abdullah

    Published 2022
    “…In addition to quantitative methods, a qualitative method of semi-structured interview based on the selected project was conducted after the students completed their projects to identify the strengths and difficulties, they had faced during the project creation. …”
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  9. 9
    Features selection for intrusion detection system using hybridize PSO-SVM

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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  10. 10
    Denoising of digital images using second generation wavelet transforms-hidden markov model

    Denoising of digital images using second generation wavelet transforms-hidden markov model by Khmag, Asem Ib Mohamed

    Published 2016
    “…In this issue, a newly developed algorithm based on second-generation wavelet transformation using semi-soft thresholding is introduced. …”
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  11. 11
    Segmentation of Magnetic Resonance Brain Images Using Watershed Algorithm

    Segmentation of Magnetic Resonance Brain Images Using Watershed Algorithm by Abdurrahim, Salem Hamed

    Published 2004
    “…The proposed technique based on the watershed algorithm, which is applied to the gradient magnitude of the MRI data. …”
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  12. 12
    Sentiment Analysis of Sexual Harassment in Malaysia on Twitter Using Machine Learning Algorithms

    Sentiment Analysis of Sexual Harassment in Malaysia on Twitter Using Machine Learning Algorithms by Nurellezia, Suleiman

    Published 2023
    “…Lastly, the data are visualized using graphs and charts and an overall visualization dashboard is generated for data reporting which helps to analyze and extract meaning behind the sentiments by relating the visualizations with real-life events from legitimate sources such as news and articles. …”
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    Final Year Project Report / IMRAD
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  13. 13
    Texture-based classification of workpiece surface images using the support vector machine

    Texture-based classification of workpiece surface images using the support vector machine by Ashour, Mohammed Waleed, Abdul Halin, Alfian, Khalid, Fatimah, Abdullah, Lili Nurliyana, Darwish, Samy H.

    Published 2015
    “…Machine vision can be used to semi- or fully automate this identification process by firstly extracting features from captured workpiece images, followed by analysis using machine learning algorithms. …”
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  14. 14
    Defects identification on semiconductor wafer for yield improvement using machine learning / Pedram Tabatabaeemoshiri

    Defects identification on semiconductor wafer for yield improvement using machine learning / Pedram Tabatabaeemoshiri by Pedram , Tabatabaeemoshiri

    Published 2025
    “…This work presents a novel graph-based semi-supervised learning (GSSL) algorithm designed for wafer defect detection. …”
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  15. 15
    A rule-based image segmentation method and neural network model for classifying fruit in natural environment / Hamirul'aini Hambali

    A rule-based image segmentation method and neural network model for classifying fruit in natural environment / Hamirul'aini Hambali by Hambali, Hamirul'aini

    Published 2015
    “…For object classification, some methods have the ability to identify objects as good as human experts who normally classify objects based on visual perception. However, classifying objects in natural environment is difficult due to the presence of direct illumination on the object surface.Therefore, this research has developed a semi-supervised Fuzzy c-means (FCM) and neural network (NN) model that are able to classify objects based on their surface colour. …”
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  16. 16
    Intelligent image noise types recognition and denoising system using deep learning / Khaw Hui Ying

    Intelligent image noise types recognition and denoising system using deep learning / Khaw Hui Ying by Khaw , Hui Ying

    Published 2019
    “…Targeting on impulse noise density as high as 50%, 60%, 70%, 80% and 90%, the model has been trained with a massive collection of natural images and 14 standard testing images are used for validation purposes. Based on the final denoised images, the model has proven its reliability, in terms of both visual quality and quantitative evaluation. …”
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  17. 17
    Development of A Spreadsheet- Based Solver....

    Development of A Spreadsheet- Based Solver.... by Nurul Raihan Primuharsa Putra

    Published 2023
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  18. 18
    Development of a spreadsheet-based solver: Modeling momentum and energy transport in PEMFC cathode

    Development of a spreadsheet-based solver: Modeling momentum and energy transport in PEMFC cathode by Nurul Raihan Primuharsa Putra

    Published 2023
    “…The Finite Volume Method (FVM), Power Law scheme and Semi-Implicit Method for Pressure-Linked (SIMPLE) Algorithm were applied. …”
    text::Thesis
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  19. 19
    Development of a spreadsheet-based CFD solver: modeling momentum and energy transport in PEMFC cathode

    Development of a spreadsheet-based CFD solver: modeling momentum and energy transport in PEMFC cathode by Nurul Raihan Primuharsa Putra

    Published 2024
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  20. 20
    Optimal geometric arrangement of unfinned and finned flat tube heat exchangers under laminar forced convection

    Optimal geometric arrangement of unfinned and finned flat tube heat exchangers under laminar forced convection by Tahseen Ahmad, Tahseen

    Published 2014
    “…Conservation equations (mass, momentum, and energy) were solved to develop code utilizing Visual-FORTRAN based on finite volume technique to determine the temperature and velocity fields. …”
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