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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
    Visualizing pandemics with calendar heatmaps : a case study of COVID-19 in Malaysia

    Visualizing pandemics with calendar heatmaps : a case study of COVID-19 in Malaysia by Zolkepli, Maslina, Ramlan, Isa

    Published 2024
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  9. 9
    Determining Suitable Program For SPM Holder Using Neural Network Approach

    Determining Suitable Program For SPM Holder Using Neural Network Approach by Noraisah, Sudin

    Published 2002
    “…This methodology should be able to provide us with some new insights into the type of patterns that exist in educational data. Therefore, NN has a great potential in supporting the policy development for the current education.…”
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  10. 10
    Dyslexia handwriting detection using Convolutional Neural Network (CNN) algorithm / Sofea Najihah Mohd Zaki

    Dyslexia handwriting detection using Convolutional Neural Network (CNN) algorithm / Sofea Najihah Mohd Zaki by Mohd Zaki, Sofea Najihah

    Published 2024
    “…Convolutional Neural Network (CNN) algorithm was chosen as one of the possible solutions after a thorough analysis of many algorithms for dyslexic handwriting identification. …”
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  11. 11
    Teaching and learning via chatbots with immersive and machine learning capabilities

    Teaching and learning via chatbots with immersive and machine learning capabilities by Nantha Kumar Subramaniam

    Published 2019
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  12. 12
    A preliminary investigation of the definition and components of computational thinking in the Malaysian education landscape: from educational technology experts' perspective

    A preliminary investigation of the definition and components of computational thinking in the Malaysian education landscape: from educational technology experts' perspective by Abdul Hamed, Ahmad Sarji, Wong, Su Luan, Abdul Rani, Mohd Zariat, Md Khambari, Mas Nida, Abd Rahim, Nur Aira, Khalid, Fariza, Moses, Priscilla

    Published 2024
    “…The findings reveal that CT in Malaysia is defined as a problem-solving methodology emphasizing inclusivity and thinking, as guided by the Malaysian Ministry of Education (MOE). Essential of CT identified by experts align with MOE's framework and encompass abstraction, decomposition, pattern recognition, algorithms, logical reasoning, and evaluation. …”
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  13. 13
    Financial advisory and management system

    Financial advisory and management system by Low, Xin Yin

    Published 2025
    “…With the support of an AI assistant built on the Google Gemini API, the platform provides tailored, contextual advice to help users better manage their finances. …”
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  14. 14
    Determining malaria risk factors in Abuja, Nigeria using various statistical approaches

    Determining malaria risk factors in Abuja, Nigeria using various statistical approaches by Segun, Oguntade Emmanuel

    Published 2018
    “…Previously, several decision support tools have been used to support expert-based opinion in the field of sciences for malaria modelling. …”
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  15. 15
    The Design of Pre-Processing Multidimensional Data Based on Component Analysis

    The Design of Pre-Processing Multidimensional Data Based on Component Analysis by Jasni, Mohamad Zain, Rahmat Widia, Sembiring

    Published 2011
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  16. 16
    Mining Indirect Least Association Rule from Students’ Examination Datasets

    Mining Indirect Least Association Rule from Students’ Examination Datasets by Zailani, Abdullah, Tutut, Herawan, Noraziah, Ahmad, Rozaida, Ghazali, Mustafa, Mat Deris

    Published 2014
    “…Therefore, in this paper we applied our novel algorithm called Mining Lease Association Rule (MILAR) and our measure called Critical Relative Support (CRS) to mine the indirect least association rule from the students’ examination datasets. …”
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  17. 17
    Exploring students' performance in mathematics in Portugal using data analytics techniques: a data science use-case

    Exploring students' performance in mathematics in Portugal using data analytics techniques: a data science use-case by Hassan, Raini, Fadzleey, Nur Zulfah Insyirah, Ab Hamid, Annesa Maisarah, Abd Aziz, Rabiatul Adawiyah, Jamalullain, Afiefah, Syaiful 'Adli, Fatin Syafiqah

    Published 2024
    “…The purpose is to identify the key factors influencing academic performance, providing insights for targeted interventions and support systems. Machine learning algorithms, specifically Random Forest Regression and Decision Trees, are utilized to analyze the dataset and determine the most significant factor impacting student performance. …”
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  18. 18
    Mining Indirect Least Association Rule from Students' Examination Datasets

    Mining Indirect Least Association Rule from Students' Examination Datasets by Zailani, Abdullah, Noraziah, Ahmad, Mustafa, Mat Deris, Rozaida, Ghazali, Herawan, Tutut

    Published 2014
    “…Therefore, in this paper we applied our novel algorithm called Mining Lease Association Rule (MILAR) and our measure called Critical Relative Support (CRS) to mine the indirect least association rule from the students' examination datasets. …”
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  19. 19
    Research trends among new investigators at ISOQOL: a bibliometric analysis from 2019 to 2023

    Research trends among new investigators at ISOQOL: a bibliometric analysis from 2019 to 2023 by Kwon, Jae-Yung, Kaur, Manraj N., Elsman, Ellen B. M., Mehdipour, Ava, Lo, Lori Suet Hang, Ahmed Osman, Ahmed Mohamed Yehia Naguib, Herbelet, Sandrine, Ng, Carrie-Anne, van der Weijst, Lotte

    Published 2025
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  20. 20
    Enhancing teaching and learning through data-driven optimization of servicing code demand and lecturer allocation using WEKA analysis

    Enhancing teaching and learning through data-driven optimization of servicing code demand and lecturer allocation using WEKA analysis by Rochin Demong, Nur Atiqah, Mohamed Razali, Murni Zarina, Kamaruddin, Juliana Noor, Shamsuddin, Sazwan, Awang, Nor Ain, Kamarudin, Norjuliatie, Wan Othman, Noor Faradilla

    Published 2025
    “…The increasing demand for servicing codes across faculties has created a growing need for data-driven decision supports in optimizing lecturer allocation and cost efficiency. …”
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