Search Results - (( java implementation learning algorithm ) OR ( user evaluation clustering algorithm ))

Refine Results
  1. 1
  2. 2

    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm by Norulazmi, Kasim

    Published 2008
    “…The prototype system, known as Java Plagiarism Detection System (JPDS) implements the Greedy-String-Tiling algorithm to detect similarities among tokens in a Java source code files. …”
    Get full text
    Get full text
    Get full text
    Thesis
  3. 3

    Evaluation of the effectiveness of clustering algorithm in retrieving Malay documents / Aminah Mahmood by Mahmood, Aminah

    Published 2004
    “…This study has evaluated and identified the effectiveness of clustering algorithm in Malay document retrieval system using Hadith test collections, which consists of Hadith documents, relevant judgments and one set of queries. …”
    Get full text
    Get full text
    Thesis
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8

    Multi-user beamforming, fairness and device-to-device channel state information sharing in downlink non-orthogonal multiple access systems by Abdulhussein, Mohanad Mohammed

    Published 2021
    “…To this end, a fair user clustering algorithm with two stages is proposed, wherein the strong and weak users are selected in the first and second stages, respectively. …”
    Get full text
    Get full text
    Thesis
  9. 9

    Evaluation of intonation features on emphasized Malay words / Syazwani Nasaruddin by Nasaruddin, Syazwani

    Published 2017
    “…Activities in this section are, for testing part, 314 words from 2 different speakers are evaluated by using clustering method. WEKA is a set of machine learning algorithm for data mining task. …”
    Get full text
    Get full text
    Thesis
  10. 10

    Segmentation of MRI brain images using statistical approaches by Balafar, Mohammad Ali

    Published 2011
    “…Moreover, three improvements of EM for brain MRI segmentation are proposed, which incorporate neighbourhood information in a new manner in the clustering process. In addition, two algorithms for the post-processing of clustering results using user-interaction and the re-evaluation of boundary data in each cluster are presented. …”
    Get full text
    Get full text
    Thesis
  11. 11
  12. 12

    An Educational Tool Aimed at Learning Metaheuristics by Kader, Md. Abdul, Jamaluddin, Jamal A., Kamal Z., Zamli

    Published 2020
    “…Implemented with Java, this tool provides a friendly GUI for setting the parameters and display the result from where the learner can see how the selected algorithm converges for a particular problem solution. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  13. 13
  14. 14

    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

    Published 2022
    “…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
    Get full text
    Get full text
    Get full text
    Thesis
  15. 15

    Framework for stream clustering of trajectories based on temporal micro clustering technique by Abdulrazzaq, Musaab Riyadh

    Published 2018
    “…The clustering algorithm consists of two components: the temporal micro-clusters generation and the temporal micro clusters merging. …”
    Get full text
    Get full text
    Thesis
  16. 16
  17. 17

    A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment by Ruzita, Ahmad

    Published 2013
    “…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
    Get full text
    Get full text
    Get full text
    Thesis
  18. 18

    Clustering of large time-series datasets using a multi-step approach / Saeed Reza Aghabozorgi Sahaf Yazdi by Yazdi, Saeed Reza Aghabozorgi Sahaf

    Published 2013
    “…It overcomes the limitations of conventional clustering algorithms in dealing with time-series data. …”
    Get full text
    Get full text
    Thesis
  19. 19

    Backhaul load and performance optimality of partial joint processing schemes in LTE-A networks by Kousha, Mohammad

    Published 2014
    “…All these achieved because the proposed algorithm targets those users located at the cluster borders who more likely cause rank deficiency. …”
    Get full text
    Get full text
    Thesis
  20. 20

    Detection of multiple outliners in linear regression using nonparametric methods by Adnan, Robiah

    Published 2004
    “…However, most of them are complicated and unappealing to users with no mathematical background. The clustering algorithm from Sebert et al. (1998) is discussed and used since it is easy to understand with interesting proposed approach and have a good performance in detecting the presence of outliers. …”
    Get full text
    Get full text
    Monograph