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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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  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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  7. 7
    The development of a tracking algorithm for ambulance detection using squaring of RGB and HSV color processing techniques

    The development of a tracking algorithm for ambulance detection using squaring of RGB and HSV color processing techniques by Mohammad Syawaludin Syafiq, Hassan

    Published 2016
    “…In this study, a tracking algorithm is developed by means of image processing technique in detecting ambulance. …”
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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
    Implications of the Middle East Emerging Markets on International Portfolio Diversification

    Implications of the Middle East Emerging Markets on International Portfolio Diversification by Mansourfar, Gholamreza

    Published 2010
    “…For the intra-regional investments, the Middle Eastern equity markets provide more portfolio diversification benefits as compared to the emerging and developed equity markets. A vital difference between emerging and developed markets is that developed countries provide the opportunities of selecting the desired investments among a similar set of portfolio risks in both the short and long-term holding periods. …”
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  10. 10
    Implementation of Grid Computing for Cryptosystem (RSA)

    Implementation of Grid Computing for Cryptosystem (RSA) by Abd Wahab, Mohamed Ferdaus

    Published 2005
    “…Lastly the project has the objective to deploy and a grid computing facility that will beuse as a test bed for RSA algorithm Methodology used for the development is Rapid Application Development (RAD) as it will allow for fast development with a series of testing and prototyping. …”
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  11. 11
    Investigation of Optimal PV Allocation to Minimize System Losses and Improve Voltage Stability for Distribution and Transmission Networks Using MATLAB and DigSilent

    Investigation of Optimal PV Allocation to Minimize System Losses and Improve Voltage Stability for Distribution and Transmission Networks Using MATLAB and DigSilent by Rasheed M.A., Verayiah R.

    Published 2023
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  12. 12
    QR factorization equalisation scheme for mode devision multiplexing transmission in fibre optics

    QR factorization equalisation scheme for mode devision multiplexing transmission in fibre optics by Abbas, Sharafal-Deen Abdulkadhum

    Published 2016
    “…This is done by trying to avoid the issues accompanied with the development of the previous algorithms that have been utilized for the same goal. …”
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  13. 13
    A comparative study of deep learning algorithms in univariate and multivariate forecasting of the Malaysian stock market

    A comparative study of deep learning algorithms in univariate and multivariate forecasting of the Malaysian stock market by Mohd. Ridzuan Ab. Khalil, Azuraliza Abu Bakar

    Published 2023
    “…Three deep learning algorithms, Multilayer Perceptron (MLP), Convolutional Neural Network (CNN), and Long Short-Term Memory (LSTM), are used to develop the prediction model. …”
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  14. 14
    Reverse migration prediction model based on machine learning / Azreen Anuar

    Reverse migration prediction model based on machine learning / Azreen Anuar by Anuar, Azreen

    Published 2024
    “…The findings of this research have provided new insights into the six (6) factors that could influence reverse migration. In addition, the results from the three (3) algorithms that were tested showed that Random Forest outperforms other algorithms by acquiring an accuracy and classification error to predict reverse migration. …”
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  15. 15
    Proposal of meta-requirement approach to analyze requirements specification completeness

    Proposal of meta-requirement approach to analyze requirements specification completeness by Muhamad Idaham, Umar Ong, M. A., Ameedeen

    Published 2018
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  16. 16
    Cauchy Density-based Algorithm for VANETs Clustering in 3D Road Environments

    Cauchy Density-based Algorithm for VANETs Clustering in 3D Road Environments by AL-Obaidi, A.S., Jubair, M.A., Aziz, I.A., Ahmad, M.R., Mostafa, S.A., Mahdin, H., AL-Tickriti, A.T., Hassan, M.H.

    Published 2022
    “…This paper tackles the problem of 3D VANETs using a centralized clustering model based on the developed Cauchy density model. The development has included a traffic generation model, mobility model for generating driving behavior, and an algorithm for enabling modeling of road curvature based on an adjacency list that defines the road’s points that define a straight-line segment. …”
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  17. 17
    Development of collision avoidance warning system for heavy vehicles featuring adaptive minimum safe distance / Airul Sharizli Abdullah

    Development of collision avoidance warning system for heavy vehicles featuring adaptive minimum safe distance / Airul Sharizli Abdullah by Airul Sharizli, Abdullah

    Published 2017
    “…Finally, the development of prototype microcontroller-based CAWS featuring MSDG activation algorithm has been developed. …”
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  18. 18
    Resource-Efficient Coverage Path Planning for UAV-Based Aerial IoT Gateway

    Resource-Efficient Coverage Path Planning for UAV-Based Aerial IoT Gateway by Nurul Saliha A. Ibrahim, Nurul Saliha A. Ibrahim, Faiz A. Saparudin, Faiz A. Saparudin

    Published 2023
    “…As a result, the Energy Efficient Coverage Path Planning (EECPP) algorithm has been proposed. The EECPP is composed of two algorithms: the Stop Point Prediction Algorithm using K-Means, and Path Planning Algorithm using Particle Swarm Optimization. …”
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  19. 19
    Determinants and prediction of home nursing utilization among older adults in China: an integration of logistic regression and XGBoost algorithm

    Determinants and prediction of home nursing utilization among older adults in China: an integration of logistic regression and XGBoost algorithm by Zhao, Jing, Du, Xiao Fei, Lin, Jun, Guo, Wei Wei, Wang, Shao Peng, Yang, Fan

    Published 2026
    “…The potential role of online access was also recognized as an emerging factor. Conclusions: This study emphasizes the critical role of both need-based factors and enabling resources in driving home nursing utilization. …”
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  20. 20
    Modelling of optimized hybrid debris flow using airborne laser scanning data in Malaysia

    Modelling of optimized hybrid debris flow using airborne laser scanning data in Malaysia by Lay, Usman Salihu

    Published 2019
    “…The general objective of the study was the development of optimized hybrid debris flow models using airborne laser scanning data and Machine learning algorithms in Malaysia. …”
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