Search Results - evolution ((selection techniques) OR (((computing techniques) OR (mining techniques))))

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  1. 1

    Accelerator-based human activity recognition using voting technique with NBTree and MLP classifiers by Azmi M.S.M., Sulaiman M.N.

    Published 2023
    “…To evaluate the proposed voting technique, the performance of selected individual classifiers and existing voting technique was first examined, followed by the experiment to determine the performance of the proposed model. …”
    Article
  2. 2

    Data mining in computer auditing / Hiromi Wong, Siew Lan and Valery Fred Lee by Hiromi , Wong, Siew , Lan, Valery, Fred Lee

    Published 2004
    “…The report will cover the literature review that started with an introduction to computer auditing, introduction to data mining, data mining techniques (classification, neural network and sequential analysis), and the existing data mining software. …”
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    Thesis
  3. 3

    A review of homogenous ensemble methods on the classification of breast cancer data by Nur Farahaina, Idris, Mohd Arfian, Ismail

    Published 2024
    “…Data mining is a concept established by computer scientists to lead a secure and reliable classification and deduction of data. …”
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    Article
  4. 4

    A review of homogenous ensemble methods on the classification of breast cancer data by Nur Farahaina, Idris, Mohd Arfian, Ismail

    Published 2024
    “…Data mining is a concept established by computer scientists to lead a secure and reliable classification and deduction of data. …”
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    Article
  5. 5

    Data selection mapping in mobile decision making using MCDSS technique by Anom, Raja Baharuddin, Wahid, Mohd. Taib, Maarof, Mohd. Aizani, Ruskam, Aminuddun

    Published 2007
    “…Multi criteria decision support system (MCDSS) is a decion making technique used in a aplication and system development to help user to solve a problem and make a decision.Along with current computer technology evolution, request for mobile decision support system is increasing tremendously from time to time. …”
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    Monograph
  6. 6

    Computational intelligence based technique for solving economic dispatch problem / Nur Azzammudin Rahmat by Rahmat, Nur Azzammudin

    Published 2016
    “…This technique is proven to provide better fuel-selection as compared to conventional piecewise fuel-selection method. …”
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    Thesis
  7. 7

    Classification with degree of importance of attributes for stock market data mining by Khokhar, Rashid Hafeez, Md. Sap, Mohd. Noor

    Published 2004
    “…Many statistical and data mining techniques have been used to predict time series stock market. …”
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    Article
  8. 8

    Harmonic Elimination Pulse Width Modulation Using Differential Evolution Technique For Three Phase Voltage Source Inverter by Kamisman, Norazelina

    Published 2018
    “…This thesis presents an efficient and reliable DE based solution applied to the Harmonics Elimination Pulse Width Modulation (HEPWM) switching technique for three phase voltage source inverters. …”
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    Thesis
  9. 9

    A novel cell-selection optimization handover for long-term evolution (LTE) macrocellusing fuzzy TOPSIS by Hussein, Yaseein Soubhi, Ali, Borhanuddin M., A. Rasid, Mohd Fadlee, Sali, A., Mansoor, Ali Mohammed

    Published 2016
    “…This improvement stems from the highly reliable cell-selection technique that leads to increased throughput of the cell with a successful handover. …”
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    Article
  10. 10

    A New Hybrid K-Means Evolving Spiking Neural Network Model Based on Differential Evolution by Abdulrazak Yahya, Saleh, Haza Nuzly, Abdull Hamed, Siti Mariyam, Shamsuddin, Ashraf, Osman Ibrahim

    Published 2018
    “…Clustering is one of the essential unsupervised learning techniques in Data Mining. In this paper, a new hybrid (K-DESNN) approach to combine differential evolution and K-means evolving spiking neural network model (K-means ESNN) for clustering problems has been proposed. …”
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    Book Chapter
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    Classification of Immunosignature Using Random Forests for Cancer Diagnosis by Zarzar, Mouayad, Razak, Eliza, Htike@Muhammad Yusof, Zaw Zaw, Yusof, Faridah

    Published 2015
    “…To attain this essential research purpose, a minimum set of genes that can assure higher performance in classification using data mining algorithms need to be detected. The evolution of authoritative immunofingerprint mining technology is exerting a growing influence on comprehensive cancer diagnosis biology. …”
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    Proceeding Paper
  13. 13

    Application of data mining techniques for economic evaluation of air pollution impact and control by Lukman, Iing

    Published 2007
    “…For that purpose, we use data mining techniques. Data mining techniques applied in this thesis were: 1) Group method of data handling (GMDH), originally from engineering, introducing principles of evolution - inheritance, mutation and selection - for generating a network structure systematically to develop the automatic model, synthesis, and its validation; 2) The weighted least square (WLS) and step wise regression were also applied for some cases; 3) The classification-based association rules were applied. …”
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    Thesis
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    Development of an islanding detection scheme based on combination of slantlet transform and ridgelet probabilistic neural network in distributed generation by Ahmadipour, Masoud

    Published 2019
    “…Furthermore, to evaluate the efficiency of the proposed modified differential evolution for the training of ridgelet probabilistic neural network, four statistical search techniques, namely, particle swarm optimization, genetic algorithm, simulated angling, and classical differential evolution are used and their results are compared. …”
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    Thesis
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    Game-theoretic differential evolution for multiobjective optimization of green sand mould system by Ganesan, T., Vasant, P., Elamvazuthi, I., Shaari, K.Z.K.

    Published 2016
    “…These techniques are then applied to solve the industrial green sand mould development problem. …”
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    Article
  18. 18

    Metric-based code smell detection technique for python software by Leeman, Samaila Ja'afaru

    Published 2018
    “…There are few literatures that show metric-based approaches have been used to detect code smells in Python Software. However, the techniques require selection of metrics and a tedious calibration of threshold upon which detection is done. …”
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    Thesis
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    Stock market turning points rule-based prediction / Lersak Photong … [et al.] by Photong, Lersak, Sukprasert, Anupong, Boonlua, Sutana, Ampant, Pravi

    Published 2021
    “…Finally, rule-based optimisation techniques such as Particle Swarm Optimization (PSO), Differential Evolution (DE) and Grey Wolf Optimizer (GWO) were used to minimise the amount of time employed in the stock market turning points prediction. …”
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    Book Section