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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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  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
    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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  7. 7
    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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  8. 8
    Genetic Algorithm for vehicle routing problem / W.Nurfahizul Ifwah W.Alias, Mohd Shaiful Sharipudin and Shamsunarnie Mohamed Zukri.

    Genetic Algorithm for vehicle routing problem / W.Nurfahizul Ifwah W.Alias, Mohd Shaiful Sharipudin and Shamsunarnie Mohamed Zukri. by W.Alias, W.Nurfahizul Ifwah, Sharipudin, Mohd Shaiful, Mohamed Zukri, Shamsunarnie

    Published 2012
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    Research Reports
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  9. 9
    An alternative method to solve combined economic emission dispatch problems using flower pollination algorithm

    An alternative method to solve combined economic emission dispatch problems using flower pollination algorithm by Hong, Mee Song

    Published 2016
    “…CEED actually is a multi-objective problem and need complex programming to solve it. The problem becomes complicated when there is practical constraints to be considered as well. …”
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  10. 10
    PID TUNING OF DC MOTOR USING SWARM ITELLIGENCE ALGORITHM

    PID TUNING OF DC MOTOR USING SWARM ITELLIGENCE ALGORITHM by Hasdi Aimon, Arhimny

    Published 2012
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  11. 11
    Automated time series forecasting

    Automated time series forecasting by Ismail, Suzilah, Zakaria, Rohaiza, Tuan Muda, Tuan Zalizam

    Published 2011
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    Monograph
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  12. 12
    An evaluation of Student Practical Online Application System (SPOA) developed using User Centered Design (UCD) / Muhammad Izzuddin Khairul Annuar Lim

    An evaluation of Student Practical Online Application System (SPOA) developed using User Centered Design (UCD) / Muhammad Izzuddin Khairul Annuar Lim by Khairul Annuar Lim, Muhammad Izzuddin

    Published 2015
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  13. 13
    A Stepper Motor Design Optimization Using

    A Stepper Motor Design Optimization Using by Wong, Chin Wei

    Published 2005
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    Monograph
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  14. 14
    Back propagation neural network approach for churn prediction: a case study in Celcom (M) Berhad / Hapida Husin

    Back propagation neural network approach for churn prediction: a case study in Celcom (M) Berhad / Hapida Husin by Husin, Hapida

    Published 2008
    “…The data has been chunk into a few series to determine the significant variables for predicting churn. Computer program were written in Matlab to implement the training and testing programs for the ANN algorithms. …”
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  15. 15
    Simulation of vibrating string

    Simulation of vibrating string by Loo, Twan Guan, Choy, Kam Heng

    Published 2001
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    Final Year Project Report / IMRAD
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  16. 16
    AI recommendation penetration testing tool for cross-site scripting: support vector machine algorithm

    AI recommendation penetration testing tool for cross-site scripting: support vector machine algorithm by Salim, Nur Saadah, Saad, Shahadan

    Published 2025
    “…The research employs Extreme Programming (XP) methodologies to ensure high-quality code, agility, and collaborative development. …”
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  17. 17
    Challenges due to the reliance on manual processes and human error: the use of technology in companies

    Challenges due to the reliance on manual processes and human error: the use of technology in companies by Nasrudin, Nurin Izzdhinie, Mohamad, Amri

    Published 2025
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  18. 18
    An Algorithm Study for Modeling the Multi-Period Inventory Transportation Problem in Construction Industry (S/O 14585)

    An Algorithm Study for Modeling the Multi-Period Inventory Transportation Problem in Construction Industry (S/O 14585) by Yaakob, Mazri, Abdul Rahim, Mohd Kamarul Irwan

    Published 2021
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  19. 19
    A Feasible Architecture Of Real-Time Collision Avoidance And Path Planning For Semi-Autonomous Unmanned Ground Vehicle (Ugv)

    A Feasible Architecture Of Real-Time Collision Avoidance And Path Planning For Semi-Autonomous Unmanned Ground Vehicle (Ugv) by Subramaniam, Purawin

    Published 2018
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  20. 20
    A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm

    A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm by Ba-Quttayyan, Bakr Salim Abdullah

    Published 2024
    “…This research employed a modified version of the Design Science Research Methodology (DSRM), streamlined into five stages: problem identification, theoretical study, framework development, evaluation, and reporting. The developed framework, grounded in fault-based testing theory, comprises three key components: inputs, prioritization factors, and a prioritization algorithm. …”
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