Search Results - (( _ application ((svm algorithm) OR (ccl algorithm)) ) OR ( web application using algorithm ))*

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    A Knowledge Management System for Assessing Lecturer Competence in Indonesian Higher Educational Institutions by Syaripudin, Undang

    Published 2025
    “…Lecturer competency measurement is carried out by first checking employee status using the SVM algorithm with an accuracy value of 72.28%, then using a hybrid SVM and PSO algorithm with an accuracy value of 100%. …”
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    Thesis
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    An improved framework for content and link-based web spam detection: a combined approach by Shahzad, Asim

    Published 2021
    “…The content-based web spam detection framework uses three proposed and two improved content-based algorithms for web spam detection. …”
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    Thesis
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    A WEB-BASED SYSTEM FOR THE PREDICTION OF STUDENT PERFORMANCE IN UPCOMING PUBLIC EXAMS BASED ON ACADEMIC RECORDS by DELLON, NELSON BRUNNIE

    Published 2023
    “…Teachers will be able to precisely forecast their students' impending grades utilizing the system's web-based application integration and machine learning algorithms. …”
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    Final Year Project Report / IMRAD
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    A malicious URLs detection system using optimization and machine learning classifiers by Lee, Ong Vienna, Heryanto, Ahmad, Mohd Faizal, Ab Razak, Anis Farihan, Mat Raffei, Eh Phon, Danakorn Nincarean, Shahreen, Kasim, Sutikno, Tole

    Published 2020
    “…In this study, we applied features optimization approaches by using a bio-inspired algorithm for selecting significant URL features which able to detect malicious URLs applications. …”
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    Article
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    Classifying good and bad websites by Koo, Ee Woon

    Published 2015
    “…Websites classification has become a vital subject matter as most websites are increasingly being used as a platform for various applications. These web pages often contain semi-structured content which make the classification process challenging. …”
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    Final Year Project Report / IMRAD
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    K-gen phishguard: an ensemble approach for phishing detection with k-means and genetic algorithm by Al-Hafiz, Ali Raheem, Jabir, Adnan J., Subramaniam, Shamala

    Published 2025
    “…Predictions are aggregated using a soft voting mechanism. This research utilises the web page phishing detection dataset, which consists of 11,430 URLs with 87 features. …”
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    Article
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    Named entity recognition using a new fuzzy support vector machine. by Mansouri, Alireza, Affendy, Lilly Suriani, Mamat, Ali

    Published 2008
    “…Some of the Machine learning algorithms used in NER methods are, support vector machine(SVM), Hidden Markov Model, Maximum Entropy Model (MEM) and Decision Tree. …”
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    Article
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    Malware visualizer: A web apps malware family classification with machine learning by Mohd Zamri, Osman, Ahmad Firdaus, Zainal Abidin, Rahiwan Nazar, Romli

    Published 2021
    “…This project uses three classification algorithm which are Random Forest (RF), Support Vector Machine (SVM), and Convolutional Neural Network (CNN). …”
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    Conference or Workshop Item
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    Intent-IQ: customer’s reviews intent recognition using random forest algorithm by Mazlan, Nur Farahnisrin, Ibrahim Teo, Noor Hasimah

    Published 2025
    “…As for the result, the dataset that has gone through data annotation using self-training technique with SVM model is used for further analysis as it achieved 90.0% accuracy and F1-score. …”
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    Article
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    Implementing BiSM and CCL algorithm for managing audio storage by Hamzah, Hammuzamer Irwan, Low, Tan Jung

    Published 2012
    “…Therefore, this paper analyzed the issues and proposed a solution to manage the audio storage.The elements from biological inspired components were studied and identified to seek for the requirements of Bio-Inspired Storing Model (BiSM).Then a structural architecture of BiSM was designed in addition the Cognitive and Constructive Learning (CCL) algorithm was proposed.Finally, BiSM and CCL algorithm were evaluated with exemplar application settings and the results were presented in a case study of MP3 music collections.…”
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    Using the bees algorithm to optimise a support vector machine for wood defect classification by Pham, D.T, Muhammad, Zaidi, Mahmuddin, Massudi, Ghanbarzadeh, Afshin, Koc, Ebubekir, Otri, Sameh

    Published 2007
    “…This paper describes a new application of the Bees Algorithm to the optimization of a Support Vector Machine (SVM) for the problem of classifying defects in plywood. …”
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    Conference or Workshop Item
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