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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
    “…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
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  2. 2
    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
    “…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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  3. 3
    Scalable approach for mining association rules from structured XML data

    Scalable approach for mining association rules from structured XML data by Abazeed, Ashraf Riad, Mamat, Ali, Sulaiman, Md. Nasir, Ibrahim, Hamidah

    Published 2009
    “…Many techniques have been proposed to tackle the problem of mining XML data we study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data.…”
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  4. 4
    Mining association rules from structured XML data

    Mining association rules from structured XML data by Abazeed, Ashraf Riad, Mamat, Ali, Sulaiman, Md. Nasir, Ibrahim, Hamidah

    Published 2009
    “…Many techniques have been proposed to tackle the problem of mining XML data. We study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data.…”
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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
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…The clustering research is regarding the area of data mining and implementation of the clustering algorithms. …”
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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
    “…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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  8. 8
    Analysis and modeling of database storage optimization power consumption usage for green data centers

    Analysis and modeling of database storage optimization power consumption usage for green data centers by Wan Noor Hamiza, Wan Ali

    Published 2014
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  9. 9
    Assisted History Matching by Using Genetic Algorithm and Discrete Cosine Transform

    Assisted History Matching by Using Genetic Algorithm and Discrete Cosine Transform by Abdul Rashid, Abdul Hadi

    Published 2014
    “…Overall, an algorithm showing the combination method of both GA and DCT was successfully developed. …”
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  10. 10
    Comparative of rivest-shamir-adleman Cryptosystem and its four variants using running time and memory Consumption analysis

    Comparative of rivest-shamir-adleman Cryptosystem and its four variants using running time and memory Consumption analysis by Arif Mandangan, Muhammad Asyraf Asbullah, Syed Farid Syed Adnan, Mohammad Andri Budiman

    Published 2024
    “…As a result, several researchers have developed various RSA-based cryptosystems to enhance the algorithm's performance while maintaining security. …”
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  11. 11
    Comparative of Rivest-Shamir-Adleman cryptosystem and its four variants using running time and memory consumption analysis

    Comparative of Rivest-Shamir-Adleman cryptosystem and its four variants using running time and memory consumption analysis by Mandangan, Arif, Asbullah, Muhammad Asyraf, Adnan, Syed Farid Syed, Budiman, Mohammad Andri

    Published 2024
    “…As a result, several researchers have developed various RSA-based cryptosystems to enhance the algorithm's performance while maintaining security. …”
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  12. 12
    Data mining and analysis for predicting electrical energy consumption

    Data mining and analysis for predicting electrical energy consumption by Khudhair I.Y., Dhahi S.H., Alwan O.F., Jaaz Z.A.

    Published 2024
    “…The project's electricity consumers are categorized by their hourly power usage percentage. …”
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  13. 13
    Modelling of assembly line balancing with energy consumption

    Modelling of assembly line balancing with energy consumption by Ariff Nijay, Ramli, Mohd Fadzil Faisae, Ab Rashid

    Published 2023
    “…One of the most gravitate issues in the world is energy usage. As the largest consumer in terms of energy usage, the manufacturing sector had introduced a lot of approaches to decrease their energy utilization. …”
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  14. 14
    Statistical analysis engine capacity, weight, and torque on MPV fuel consumption using regression and correlation algorithms

    Statistical analysis engine capacity, weight, and torque on MPV fuel consumption using regression and correlation algorithms by Hafidz Salafuddin, Nanang K. Pradipta, Farrah Anis Fazliatul Adnan, Jong Soo Rhee, Dianta Ginting

    Published 2024
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  15. 15
    Brain tumor image segmentation using deep learning approach

    Brain tumor image segmentation using deep learning approach by Darshan, Suresh

    Published 2022
    “…Deep learning algorithm is able to provide good tumor segmentation results compared to other conventional segmentation algorithms as it learns from the labeled brain MRIs to predict the location of tumor region and consequently segment the tumor. …”
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  16. 16
    Feature selection in intrusion detection, state of the art: A review

    Feature selection in intrusion detection, state of the art: A review by Rais, H.M., Mehmood, T.

    Published 2016
    “…Also, ambiguous features increase the time complexity and consume other computational resources as well. By removing these irrelevant and redundant features accuracy of the learning algorithms can be increased. …”
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  17. 17
    Energy-saving framework for data center from reduce, reuse and recycle perspectives

    Energy-saving framework for data center from reduce, reuse and recycle perspectives by Mohd Nor, Norhashimi, Hussin, Masnida, Abdullah, Rusli

    Published 2019
    “…We recategorized energy attributes of the existing Energy Efficient Data Center Frameworks (EEDCFs) to be aligned with 3R. Then, we developed energy-saving algorithms in response to the concept. …”
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  18. 18
    A study of customer retention and churn rate management through data mining and customer profiling of Malaysian mobile user

    A study of customer retention and churn rate management through data mining and customer profiling of Malaysian mobile user by Ong, Derek Lai Teik *, Tan, Madeline Su Lin *, Andrews, Elizabeth *

    Published 2012
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  19. 19
    Random traveling wave pulse coupled oscillator (RTWPCO) algorithm of energy-efficient wireless sensor networks

    Random traveling wave pulse coupled oscillator (RTWPCO) algorithm of energy-efficient wireless sensor networks by Al-Mekhlafi, Zeyad Ghaleb Aqlan, Mohd Hanapi, Zurina, Othman, Mohamed, Ahmad Zukarnain, Zuriati, Shamsan Saleh, Ahmed M.

    Published 2018
    “…In addition, the mechanism improves the data gathering ratio by up to 70% and 68%, respectively. This is due to the developed technique helps to reduce the high consumed energy in the sensor network and increases the data collection throughout the transmission states in wireless sensor networks.…”
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  20. 20
    Predicting motorcycle customization preferences using machine learning

    Predicting motorcycle customization preferences using machine learning by Saputra, Ananta, Utoro, Rio Korio, Roedavan, Rickman, Soegiarto, Duddy, Moorthy, Kohbalan, Pratondo, Agus

    Published 2025
    “…The classification model was developed using the Random Forest algorithm, Support Vector Machine and Logistic Regression with 5-fold Cross validation. …”
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