Search Results - (( based constructing system algorithm ) OR ( data visualisation mining algorithm ))

Refine Results
  1. 1
  2. 2
  3. 3
  4. 4
  5. 5

    A COMPARISON STUDY OF DATA CLUSTERING AND VISUALISATION TECHNIQUES WITH VARIOUS DATA TYPES by Ling, Chien

    Published 2020
    “…Clustering is used to identify the intrinsic grouping of a set of unlabelled data. It can be applied in data mining exploration and statistical data analysis. …”
    Get full text
    Get full text
    Get full text
    Final Year Project Report / IMRAD
  6. 6

    Mining and integration of oral cancer genomics for predictive therapeutics / Bernard Lee Kok Bang by Bernard Lee, Kok Bang

    Published 2019
    “…In conclusion, the present work has demonstrated that cancer genomics data mining and integration through GENIPAC and DeSigN is a viable approach to accelerating the drug development process for oral cancer. …”
    Get full text
    Get full text
    Thesis
  7. 7

    Ant system-based feature set partitioning algorithm for classifier ensemble construction by Abdullah, , Ku-Mahamud, Ku Ruhana

    Published 2016
    “…In this study, Ant system-based feature set partitioning algorithm for classifier ensemble construction is proposed.The Ant System Algorithm is used to form an optimal feature set partition of the original training set which represents the number of classifiers.Experiments were carried out to construct several homogeneous classifier ensembles using nearest mean classifier, naive Bayes classifier, k-nearest neighbor and linear discriminant analysis as base classifier and majority voting technique as combiner. …”
    Get full text
    Get full text
    Get full text
    Article
  8. 8

    Ant system-based feature set partitioning algorithm for K-NN and LDA ensembles construction by Abdullah, , Ku-Mahamud, Ku Ruhana

    Published 2015
    “…Combination of several classifiers has been very useful in improving the prediction accuracy and in most situations multiple classifiers perform better than single classifier.However not all combining approaches are successful at producing multiple classifiers with good classification accuracy because there is no standard resolution in constructing diverse and accurate classifier ensemble.This paper proposes ant system-based feature set partitioning algorithm in constructing k-nearest neighbor (k-NN) and linear discriminant analysis (LDA) ensembles. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  9. 9
  10. 10

    An Efficient Computational Algorithm for Solving Arbitrary Sylvester Matrix Equations in Fuzzy Control Theory (S/O 14179) by Ahmad, Nazihah, Ibrahim, Haslinda

    Published 2021
    “…With that, the constructed algorithm is considered as a new contribution to the application of control system theory…”
    Get full text
    Get full text
    Monograph
  11. 11
  12. 12

    An elitist-flower pollination-based strategy for constructing sequence and sequence-less t-way test suite by Abdullah, Nasser, Kamal Z., Zamli, Alsewari, Abdulrahman A., Ahmed, Bestoun S.

    Published 2018
    “…In line with the upcoming of a new field called search-based software engineering (SBSE), many newly developed t-way strategies adopting meta-heuristic algorithms can be seen in the literature for constructing interaction test suite (such as simulated annealing (SA), genetic algorithm (GA), ant colony optimisation algorithm (ACO), particle swarm optimisation (PSO), harmony search (HS) and cuckoo search (CS). …”
    Get full text
    Get full text
    Get full text
    Article
  13. 13

    Wi-Fi signals database construction using chebyshev wavelets for indoor positioning systems by Narzullaev, Anvar, Muminov, Zahriddin, Ibragimov, Gafurjan

    Published 2019
    “…For the past decade Wi-Fi fingerprinting based indoor positioning systems gained a lot of attention by enterprises as an affordable and flexible solution to track their assets and resources more effectively. …”
    Get full text
    Get full text
    Article
  14. 14

    Hybrid weight deep belief network algorithm for anomaly-based intrusion detection system by Maseer, Ziadoon Kamil

    Published 2022
    “…Recently, researchers suggested a deep belief network (DBN) algorithm to construct and build a network intrusion detection system (NIDS) for detecting attacks that have not been seen before. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  15. 15

    Constructing routing tree for centralized scheduling using multi-channel single transceiver system in 802.16 mesh mode by Al-Hemyari, Ali, Ng, Chee Kyun, Noordin, Nor Kamariah, Ismail, Alyani, Khatun, Sabira

    Published 2008
    “…This paper proposes a centralized scheduling algorithm that can reduce interferences by constructing routing tree with multi-channel single transceiver system in WiMAX mesh networks. …”
    Get full text
    Get full text
    Conference or Workshop Item
  16. 16

    A data mining approach to construct graduates employability model in Malaysia by Sapaat, Myzatul Akmam, Mustapha, Aida, Ahmad, Johanna, Chamili, Khadijah, Muhamad, Rahamirzam

    Published 2011
    “…The performance of Bayes algorithms are also compared against a number of tree-based algorithms. …”
    Get full text
    Get full text
    Get full text
    Article
  17. 17
  18. 18

    Photo Based Walkthrough Using Prefetch and Caching Strategies by Yew, Kwang Hooi, Lai , Chan Yet, Nordin, Zakaria

    Published 2007
    “…‘Photo Based Walkthrough’ is a real time walkthrough system in a virtual environment constructed from photo images. …”
    Get full text
    Get full text
    Conference or Workshop Item
  19. 19

    The summer heat of cryptojacking season : Detecting cryptojacking using heatmap and fuzzy by Ahmad Firdaus, Zainal Abidin, Aldharhani, Ghassan Saleh, Zahian, Ismail, Mohd Faizal, Ab Razak

    Published 2022
    “…After that, this study employs the heatmap method to visualise the PMCC value as a colour version of heat. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  20. 20