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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
    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
    Enhancing generality of meta-heuristic algorithms through adaptive selection and hybridization

    Enhancing generality of meta-heuristic algorithms through adaptive selection and hybridization by Kamal Z., Zamli

    Published 2018
    “…Many meta-heuristic algorithms have been developed to date (e.g. Simulated Annealing (SA), Particle Swarm Optimization (PSO), Teaching Learning based Optimization (TLBO), Grey Wolf Optimizer(GWO) to name a few). …”
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  9. 9
    Self-tuning deadbeat PD controller for pitch angle control of a bench-top helicopter

    Self-tuning deadbeat PD controller for pitch angle control of a bench-top helicopter by Mansor, Hasmah, Mohd Noor, Samsul Bahari, Gunawan, Teddy Surya, Khan, Sheroz, Othman, N. I., Tazali, N., Boby, Rounaqul Islam

    Published 2014
    “…Bench-top helicopter is a laboratory scale helicopter used for experimental purposes which is widely used in teaching laboratory and research. Proportional Derivative controller has been developed for a 3-DOF bench-top helicopter by Quanser. …”
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    Proceeding Paper
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  10. 10
    Self-tuning dead beat PD controller for pitch angle control of a bench-top helicopter

    Self-tuning dead beat PD controller for pitch angle control of a bench-top helicopter by Mansor, Hasmah, Gunawan, Teddy Surya, Khan, Sheroz, Othman, N. I., Tazali, N., Boby, Rounaqul Islam, Mohd Noor, Samsul Bahari

    Published 2014
    “…Bench-top helicopter is a laboratory scale helicopter used for experimental purposes which is widely used in teaching laboratory and research. Proportional Derivative controller has been developed for a 3-DOF bench-top helicopter by Quanser. …”
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  11. 11
    Hand Gesture Recognition Using Artificial Neural Networks

    Hand Gesture Recognition Using Artificial Neural Networks by Mustafa, Mohd Amrallah

    Published 2007
    “…A multilayer perceptron with back-propagation algorithm has been developed, thus the system is actually in-built to be used as a human machine interface. …”
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  12. 12
    Examining the potential of machine learning for predicting academic achievement: A systematic review

    Examining the potential of machine learning for predicting academic achievement: A systematic review by Nazir, M., Noraziah, Ahmad, Rahmah, M., Sharma, Aditi

    Published 2023
    “…Machine learning (ML) algorithms have gained significant popularity in recent years. …”
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  13. 13
    Examining the potential of machine learning for predicting academic achievement: A systematic review

    Examining the potential of machine learning for predicting academic achievement: A systematic review by Nazir, M., Noraziah, Ahmad, Rahmah, M., Sharma, Aditi

    Published 2023
    “…Machine learning (ML) algorithms have gained significant popularity in recent years. …”
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  14. 14
    Developing students' mathematical thinking: how far have we came?

    Developing students' mathematical thinking: how far have we came? by Md. Yunus, Aida Suraya

    Published 2015
    “…The present curriculum may not be able to support the initiative to focus on higher order thinking skills (HOTS), as can be concluded from the expected outcomes stated in the curriculum guides. In terms of instruction, although it has been suggested since 20 years back, constructivist teaching has not been a preference of Malaysian teachers. …”
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    Inaugural Lecture
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