Search Results - (( java segmentation using algorithm ) OR ( pattern educational selection algorithm ))

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  1. 1

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

    Published 2010
    “…Finally, the algorithm found, which would solve the image segmentation problem.…”
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    Thesis
  2. 2

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
    “…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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    Book
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    A partition based feature selection approach for mixed data clustering / Ashish Dutt by Ashish , Dutt

    Published 2020
    “…This issue led to the emergence of the field of Educational Data Mining (EDM). Traditional data mining algorithms cannot be directly applied to educational problems, as they may have a specific objective and function. …”
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    First Semester Computer Science Students’ Academic Performances Analysis by Using Data Mining Classification Algorithms by Azwa, Abdul Aziz, Fadhilah, Ahmad

    Published 2014
    “…Applying Data Mining techniques in an educational environment are known as Educational Data Mining that aims to discover hidden knowledge and patterns about students’ behaviour. …”
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    Conference or Workshop Item
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    Determining Suitable Program For SPM Holder Using Neural Network Approach by Noraisah, Sudin

    Published 2002
    “…The generalization performance of the selected model is 83.33%. This methodology should be able to provide us with some new insights into the type of patterns that exist in educational data. …”
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    Thesis
  11. 11

    Toward Predicting Student�s Academic Performance Using Artificial Neural Networks (ANNs) by Baashar Y., Alkawsi G., Mustafa A., Alkahtani A.A., Alsariera Y.A., Ali A.Q., Hashim W., Tiong S.K.

    Published 2023
    “…This study also attempts to capture a pattern of the most used ANN techniques and algorithms. …”
    Article
  12. 12

    Spatial-temporal analysis using two-stage clustering and GIS-based MCDM to identify potential market regions by Ernawati, Kamal Baharin, Safiza Suhana, Kasmin, Fauziah

    Published 2021
    “…Unlike for-profit businesses, besides quantity factors, educational institutions need to consider student quality factors in selecting promotional locations. …”
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    Article
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    Impact of Computational Thinking and Computer Science (CTCS) Teaching Technique at Seleceted Schools in Sarawak : A Qualitative Analysis by Nor Iqbal, Mohd Sait, Noor'ain, Aini, Kartinah, Zen

    Published 2023
    “…Computational thinking and computer science (CTCS) is an educational approach that involves a four-stage process involving concepts of decomposition, pattern recognition, abstraction, and algorithm that promotes greater levels of thinking. …”
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    Proceeding
  15. 15

    Chatbot development in data representation for diabetes education by Abbas Saliimi, Lokman

    Published 2011
    “…SWD and OMAMC are proposed to enhance the process of keywords/pattern matching for chatbot. Synonyms and Root-words are proposed as an additional component for chatbot that deals with Malay Language (Bahasa Malaysia), and GWP is proposed to become a supplementary component for the process of selecting final response in case where matching process is producing multiple responses. …”
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    Thesis
  16. 16

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

    Published 2018
    “…Based on cross-validation analysis, the score-based algorithm outperformed the constraint-based algorithms in the structural learning. …”
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    Thesis
  17. 17

    Bayesian network of influence of sociodemographic variables on dengue related knowledge, attitude, and practices in selected areas in Selangor, Malaysia by Ajibola, Lamidi-Sarumoh Alaba

    Published 2019
    “…Knowledge, attitude and practice Bayesian network model (KAPBNM) was used to visualize and quantify the pattern of KAP on dengue infection and vectors given the socio-demographic variables of the respondents. …”
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    Thesis
  18. 18

    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
    “…Furthermore, classification using the Random Forest algorithm depicted that a 95.3% accuracy (k=0.768), confirming robust predictive capability in identifying course approval status and demand trends. …”
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    Article
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