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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
    Tool wear prediction models during end milling of glass fibre-reinforced polymer composites

    Tool wear prediction models during end milling of glass fibre-reinforced polymer composites by Azwan Iskandar, Azmi, Lin, Richard J.T., Bhattacharyya, Debes

    Published 2013
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  9. 9
    Development of a novel natural frequencies prediction tool for laminated composite plates using integrated artificial neural network (ANN) - simulink MATLAB / Mohd Arif Mat Norman

    Development of a novel natural frequencies prediction tool for laminated composite plates using integrated artificial neural network (ANN) - simulink MATLAB / Mohd Arif Mat Norman by Mat Norman, Mohd Arif

    Published 2024
    “…The prediction tool utilises an Artificial Neural Network (ANN) with a two-layer feed-forward algorithm and ten hidden layers, using Levenberg-Marquardt as the training algorithm. …”
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  10. 10
    Optimal QoS aware multiple paths web service composition using heuristic algorithms and data mining techniques

    Optimal QoS aware multiple paths web service composition using heuristic algorithms and data mining techniques by Qtaish, Osama Kayed Taher

    Published 2014
    “…The goal of QoS-aware service composition is to generate optimal composite services that satisfy the QoS requirements defined by clients. …”
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  11. 11
    Producer gas composition prediction using artificial neural network algorithm / Mohd Mahadzir Mohammud ... [et al.]

    Producer gas composition prediction using artificial neural network algorithm / Mohd Mahadzir Mohammud ... [et al.] by Mohammud, Mohd Mahadzir, Mohamad Bakre, Muhammad Syaham, Mohd Fohimi, Nor Azirah, Rabilah, Rosniza, Ahmad, Muhammad Iqbal

    Published 2023
    “…It is then used to predict the output gas composition from the parameters of a gasification experiment that has been used before in UiTM’s laboratory. …”
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  12. 12
    Data Analysis and Machine Learning Algorithms Evaluation for Bioliq AI-based Predictive Tool

    Data Analysis and Machine Learning Algorithms Evaluation for Bioliq AI-based Predictive Tool by Samuel Simbine, Augusto

    Published 2019
    “…This final year project identified relevant parameters through literature research, analysis and expert interview, and evaluated different machine learning algorithms and identified linear regression as the most applicable and efficient with its R-square of 0.8015, qualifying it to be used for the development of a hybrid model for the AI-based tool for predictive process optimization for chemical plants.…”
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  13. 13
    A concentration prediction-based crop digital twin using nutrient co-existence and composition in regression algorithms

    A concentration prediction-based crop digital twin using nutrient co-existence and composition in regression algorithms by Ghazvini, Anahita, Mohd Sharef, Nurfadhlina, Balasundram, Siva Kumar, Lee, Lai Soon

    Published 2024
    “…This research embarks on an exploration of the synergy between precision agriculture, crop modeling, and regression algorithms to create a digital twin for farmers to augment the concentration and composition prediction-based crop nutrient recovery. …”
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  14. 14
    A concentration prediction-based crop digital twin using nutrient co-existence and composition in regression algorithms

    A concentration prediction-based crop digital twin using nutrient co-existence and composition in regression algorithms by Mohd Sharef, Nurfadhlina, Balasundram, Siva Kumar, Lai, Soon Lee, Ghazvini, Anahita

    Published 2024
    “…This pa-per presents two approaches, namely, (i) single-nutrient concentration prediction and (ii) nutrient composition concentration prediction, which is the result of a predictive digital twin case study that employs six regression algorithms, namely, Elastic Net, Polynomial, Stepwise, Ridge, Lasso, and Linear Regression, to predict rice nutrient content efficiently, particularly considering the co-existence and composition of multiple nutrients. …”
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  15. 15
    Numerical simulation of hybrid composite tubes under oblique compression

    Numerical simulation of hybrid composite tubes under oblique compression by Ismail, Al Emran, Nezere, N.

    Published 2017
    “…Generally, empty metallic tubes are used, and it is found that the energy absorption capability is lower than the energy obtained using composite materials. …”
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  16. 16
    Statistical modeling of the electromechanical behaviour of BI-2223 composite wires

    Statistical modeling of the electromechanical behaviour of BI-2223 composite wires by Muhammad Faris Fuaad

    Published 2024
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  17. 17
    Hybrid scheme for the prediction of microstructural features of ferritic stainless steel welds

    Hybrid scheme for the prediction of microstructural features of ferritic stainless steel welds by Amuda, Muhammed Olawale Hakeem, Mridha, Shahjahan

    Published 2010
    “…There is an increasing use of predictive tools in modeling microstructural features of welds towards eliminating weld defects and optimizing mechanical properties. …”
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    Proceeding Paper
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  18. 18
    An Automated Summarization Assessment Algorithm for Identifying Summarizing Strategies

    An Automated Summarization Assessment Algorithm for Identifying Summarizing Strategies by Abdi, A., Idris, N., Alguliyev, R.M., Aliguliyev, R.M.

    Published 2016
    “…We then implemented the algorithm for the automated summarization assessment system that can be used to identify the summarizing strategies used by students in summary writing.…”
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  19. 19
    HOLE ANALYSIS OF CARBON FIBER REINFORCED POLYMER (CFRP) LAMINATES STACK DRILLING IN AN AIRCRAFT APPLICATION

    HOLE ANALYSIS OF CARBON FIBER REINFORCED POLYMER (CFRP) LAMINATES STACK DRILLING IN AN AIRCRAFT APPLICATION by MOHD YAZIT, LUKMAN NULHAKIM

    Published 2018
    “…The mechanical drilling on laminate stacks composite material is focuses mainly on drill mechanism, cutting parameter, tool types, drill tool geometry and material. …”
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    Final Year Project
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  20. 20
    Experimental Investigation and Optimization of Minimum Quantity Lubrication for Machining of AA6061-T6

    Experimental Investigation and Optimization of Minimum Quantity Lubrication for Machining of AA6061-T6 by Najihah, Mohamed, M. M., Rahman, K., Kadirgama

    Published 2015
    “…Three types of tools are used in this experiment, namely, uncoated carbide tools and two coated carbide tools. …”
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