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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
    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
    A practical method for the analysis of genetic algorithms

    A practical method for the analysis of genetic algorithms by Alshaikhli, Imad Fakhri Taha

    Published 2011
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  9. 9
    Application of adaptive bats sonar algorithm for solving a single objective of practical business optimisation problem PROBLEM

    Application of adaptive bats sonar algorithm for solving a single objective of practical business optimisation problem PROBLEM by Nafrizuan, Mat Yahya, M. Nafis, O. Z.

    Published 2016
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  10. 10
    Algorithmic Loan Risk Prediction Method Based on PSO-EBGWO-Catboost

    Algorithmic Loan Risk Prediction Method Based on PSO-EBGWO-Catboost by Chen, Suihai, Bong, Chih How, Chiu, Po Chan

    Published 2024
    “…Under the background of big data, it is of practical significance to prevent loan risk by the machine learning algorithm. …”
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  11. 11
    Towards Practical Face Recognition System Employing Row-Based Distance Method In 2dpca Based Algorithms

    Towards Practical Face Recognition System Employing Row-Based Distance Method In 2dpca Based Algorithms by Al-Arashi, Waled Hussein Mohammed

    Published 2014
    “…Besides, the system performance in practical applications relies on the number of eigenvectors chosen. …”
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  12. 12
    Adaptive interference canceller using analog algorithm with offset voltage

    Adaptive interference canceller using analog algorithm with offset voltage by Mohammed, Alaa Hadi

    Published 2015
    “…LMS and NLMS algorithms have been used in a wide range of signal processing applications because of their simplicity in computations compared to the RLS algorithm. …”
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  13. 13
    Pre-emptive resource-constrained multimode project scheduling using genetic algorithm: a dynamic forward approach

    Pre-emptive resource-constrained multimode project scheduling using genetic algorithm: a dynamic forward approach by Delgoshaei, Aidin, Mohd Ariffin, Mohd Khairol Anuar, Baharudin, B. T. Hang Tuah

    Published 2016
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  14. 14
    Hybridizing Invasive Weed Optimization with Firefly Algorithm for Unconstrained and Constrained Optimization Problems

    Hybridizing Invasive Weed Optimization with Firefly Algorithm for Unconstrained and Constrained Optimization Problems by Hyreil A., Kasdirin, N. M., Yahya, M. S. M., Aras, Tokhi, M. O.

    Published 2017
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  15. 15
    Real time nonlinear filtered-x lms algorithm for active noise control

    Real time nonlinear filtered-x lms algorithm for active noise control by Sahib, Mouayad Abdulredha

    Published 2012
    “…Consequently, the practical applicability of the NLFXLMS algorithm is limited by this drawback. …”
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  16. 16
    Modified Firefly Algorithm in Solving Economic Dispatch Problems with Practical Constraints

    Modified Firefly Algorithm in Solving Economic Dispatch Problems with Practical Constraints by M. H., Sulaiman

    Published 2012
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  17. 17
    Research On Photovoltaic Mppt Control Method Based On Improved Bas Algorithm And Variable Step-Size Inc Method

    Research On Photovoltaic Mppt Control Method Based On Improved Bas Algorithm And Variable Step-Size Inc Method by Li, Wenli

    Published 2024
    “…However, the PV module is easily affected by external environments in practical applications, leading to a decrease in PV power. …”
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  18. 18
    Fast decryption method for a Rabin primitive-based cryptosystem

    Fast decryption method for a Rabin primitive-based cryptosystem by Asbullah, Muhammad Asyraf, Kamel Ariffin, Muhammad Rezal

    Published 2014
    “…For real-world practicality, Garner’s algorithm is efficient to speed up the CRT computation. …”
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  19. 19
    The development of deformable bodies collision response algorithm for interactive virtual environment

    The development of deformable bodies collision response algorithm for interactive virtual environment by Mohd. Shuaib, Norhaida, Bade, Abdullah, Daman, Daut, Sunar, Mohd. Shahrizal

    Published 2006
    “…The method is suitable for real time application like virtual surgery.…”
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  20. 20
    Graph-Based Algorithm With Self-Weighted And Adaptive Neighbours Learning For Multi-View Clustering

    Graph-Based Algorithm With Self-Weighted And Adaptive Neighbours Learning For Multi-View Clustering by He, Yanfang

    Published 2024
    “…To address the noise problem in multi-view data, this study enhances the gbs method and develops a new self-weighted graph multi-view clustering algorithm (swmcan). …”
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