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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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    Conference or Workshop Item
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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
    Unified neural network controller of series active power filter for power quality problems mitigation

    Unified neural network controller of series active power filter for power quality problems mitigation by Ghazanfarpour, Behzad

    Published 2013
    “…First, Widrow-Hoff algorithm is examined and its constant learning rate is modified by adding an adaptive learning rule to change the learning rate value. …”
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  8. 8
    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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  9. 9
    Behaviour Analysis Among Adolescents And Children For Cyberbullying Based On Twitter And Kaggle Dataset

    Behaviour Analysis Among Adolescents And Children For Cyberbullying Based On Twitter And Kaggle Dataset by Afiefah Hannani, Abdul Halim

    Published 2023
    “…Therefore, cyberbullying detection using a Machine Learning approach is suggested. This study presents the comparison of three Machine Learning algorithms for the detection using cyberbullying activity on social media platforms specifically Twitter. …”
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    Undergraduates Project Papers
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  10. 10
    Tracing active power between generators and loads for transmission open access

    Tracing active power between generators and loads for transmission open access by Zanariah Zainol

    Published 2009
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    Learning Object
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  11. 11
    Anomaly detection in system log files using machine learning algorithms / Zahedeh Zamanian

    Anomaly detection in system log files using machine learning algorithms / Zahedeh Zamanian by Zahedeh, Zamanian

    Published 2019
    “…Also, log files are heterogenous and cannot fed them directly in machine learning algorithms. Furthermore, many of the companies use the signature-based detection method which is not capable of capturing more advanced attackers that use unfamiliar attacks methods. …”
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  12. 12
    Adaptive approach in handling human inactivity in computer power management

    Adaptive approach in handling human inactivity in computer power management by Candrawati, Ria, Hashim, Nor Laily

    Published 2016
    “…This study introduces Control, Learn and Knowledge model that adapts the Monitor, Analyze, Planning, Execute control loop integrates with Q Learning algorithm to learn human inactivity period to minimize the computer power consumption.An experiment to evaluate this model was conducted using three case studies with same activities. …”
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  13. 13
    Classification of labour pain using electroencephalogram signal based on wavelet method / Sai Chong Yeh

    Classification of labour pain using electroencephalogram signal based on wavelet method / Sai Chong Yeh by Sai , Chong Yeh

    Published 2020
    “…Furthermore, wavelet-ICA in conjunction with machine learning algorithm successfully removed target artifacts, while largely retaining the EEG source signals of interest. …”
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  14. 14
    Characterization of water quality conditions in the Klang River Basin, Malaysia using self organizing map and K-means algorithm

    Characterization of water quality conditions in the Klang River Basin, Malaysia using self organizing map and K-means algorithm by Mohd Sharif, Sharifah, Mohd Kusin, Faradiella, Asha’ari, Zulfa Hanan, Aris, Ahmad Zaharin

    Published 2015
    “…This study aimed to determine the spatiotemporal pattern of the water quality data and identifying the sources of pollution in the Klang River Basin. The self organizing map (SOM) combined with the K-means algorithm arranged the data based on the relationships of 25 variables. …”
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  15. 15
    Three-phase switched capacitor active power filter with modified artificial neural network and flexible-band hysteresis.

    Three-phase switched capacitor active power filter with modified artificial neural network and flexible-band hysteresis. by Mohd Radzi, Mohd Amran, Abd Rahim, Nasrudin

    Published 2011
    “…The modified ANN with a suitable learning rate produces good and fast harmonic reference current for use in the switching algorithm, which performs flexible-band through embedded with band and without band hysteresis current control. …”
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  16. 16
    Towards paddy rice smart farming: a review on big data, machine learning, and rice production tasks

    Towards paddy rice smart farming: a review on big data, machine learning, and rice production tasks by Rayner Alfred, Joe Henry Obit, Christie Chin Pei Yee, Haviluddin Haviluddin, Yuto Lim

    Published 2021
    “…This paper also presents a framework that maps the activities defined in rice smart farming, data used in data modelling and machine learning algorithms used for each activity defined in the production and post-production phases of paddy rice. …”
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  17. 17
    Predicting suspended sediment load in Peninsular Malaysia using support vector machine and deep learning algorithms

    Predicting suspended sediment load in Peninsular Malaysia using support vector machine and deep learning algorithms by Essam Y., Huang Y.F., Birima A.H., Ahmed A.N., El-Shafie A.

    Published 2023
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  18. 18
    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
    “…Future research needs to address these limitations to develop more robust prediction models. Machine learning can fuse data from various sources like test scores like Coursera, edX & Open edX, Udemy, linkedin learning, learn words, and hacker’s rank platform etc, attendance, and online activity to help educators better understand student needs and improve teaching, can use for better decision. …”
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  19. 19
    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
    “…Future research needs to address these limitations to develop more robust prediction models. Machine learning can fuse data from various sources like test scores like Coursera, edX & Open edX, Udemy, linkedin learning, learn words, and hacker’s rank platform etc, attendance, and online activity to help educators better understand student needs and improve teaching, can use for better decision. …”
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  20. 20
    Trends on technologies and artificial intelligence in education for personalized learning: systematic literature review

    Trends on technologies and artificial intelligence in education for personalized learning: systematic literature review by Hashim, Suraya, Omar, Muhd Khaizer, Ab. Jalil, Habibah, Mohd Sharef, Nurfadhlina

    Published 2022
    “…A few approaches on the other hand, appear to witness technological advancement as providing opportunities for individualised learning by applying analytical tools and algorithms to create automated adaptive learning activities and materials. …”
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