Search Results - (( developing theme visualization algorithm ) OR ( java mining classification algorithm ))

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  1. 1

    An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

    Published 2015
    “…Recently, various techniques based on different algorithms have been developed. However, the classification accuracy and computational cost are not satisfied. …”
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    Thesis
  2. 2

    A web-based implementation of k-means algorithms by Lee, Quan

    Published 2022
    “…Firstly, k-luster could incorporate additional clustering algorithms, or even classification algorithms in the future. …”
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    Final Year Project / Dissertation / Thesis
  3. 3

    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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    Thesis
  4. 4

    Evaluating the usability of a Quranic theme extraction and visualization system using task-based usability testing by Azuan, Alya Maisarah

    Published 2025
    “…This study presents a task-based usability evaluation of a Quranic Theme Extraction and Visualization System, which integrates Natural Language Processing (NLP) techniques which are RAKE algorithm for keyword extraction and DistilBERT for theme classification. …”
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    Article
  5. 5

    Secured electrocardiograph (ECG) signal using fully homomorphic encryption technique by Shaikh, Muhammad Umair, Ahmad, Siti Anom, Wan Adnan, Wan Azizun

    Published 2020
    “…For the digital signal processing on ECG, QRS complex method will be used to display heart rate (HR) because it is the most visually obvious part of the ECG tracing and it is easy to encrypt the visual part in ECG tracing. …”
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    Article
  6. 6

    Analyzing customer reviews for ARBA Travel using sentiment analysis by Abdullah, Nurulain

    Published 2025
    “…Key phrases are extracted from 400 customer reviews on Google Reviews and 300 from Facebook to reveal common themes in customer experiences. Data visualization techniques are used to present trends, such as the frequency of positive and negative reviews over time and the most commonly mentioned aspects of ARBA Travel's services. …”
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    Student Project