Search Results - (( data interpolating surface algorithm ) OR ( data visualization mining algorithm ))

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  1. 1

    Exponential Parameterized Cubic B-Spline Curves And Surfaces by Ammad, Muhammad

    Published 2020
    “…In developing B-spline curve interpolation method, an algorithm is presented for interpolating data points. …”
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    Thesis
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    DATA CLASSIFICATION SYSTEM WITH FUZZY NEURAL BASED APPROACH by LUONG, TRUNG TUAN

    Published 2005
    “…The project's objective is identifying the available data mining algorithms in data classification and applying new data mining algorithm to perform classification tasks. …”
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    Final Year Project
  4. 4

    The application of neural network data mining algorithm into mixed pixel classification in geographic information system environment by Nanna Suryana, Herman

    Published 2007
    “…However, hyperspectral image systems produce large data sets that are not easily interpretable by visual analysis and therefore require automated processing algorithm. …”
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    Conference or Workshop Item
  5. 5

    THE DEVELOPMENT OF C1 CUBIC TIMMER TRIANGULAR PATCHES FOR SCATTERED DATA INTERPOLATION by MOHD ALI, FATIN AMANI

    Published 2020
    “…Finally, the cubic Timmer triangular patch is used to reconstruct a surface from non-uniform and uniform scattered data. …”
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    Thesis
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    Maintenance dredging: allowable limit for dredge volume differences using SBES and MBES datasets / Raiz Razali by Razali, Raiz

    Published 2017
    “…Dredge volume calculation by various methods using different software, which are surface to datum, surface to surface and cross sections generated from SBES and MBES raw dataset, were compared. …”
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    Thesis
  8. 8

    Maintenance derdging: allowable limit for dredge volume differences using SBES and MBES datasets / Raiz Razali by Razali, Raiz

    Published 2017
    “…Dredge volume calculation by various methods using different software, which are surface to datum, surface to surface and cross sections generated from SBES and MBES raw dataset, were compared. …”
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    Thesis
  9. 9

    Data mining based damage identification using imperialist competitive algorithm and artificial neural network by Gordan, Meisam, Razak, Hashim Abdul, Ismail, Zubaidah, Ghaedi, Khaled

    Published 2018
    “…In this study, to predict the damage severity of sin-gle-point damage scenarios of I-beam structures a data mining based damage identification framework and a hybrid algorithm combining Artificial Neural Network (ANN) and Imperial Competitive Algorithm (ICA), called ICA-ANN method, is proposed. …”
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    Article
  10. 10

    Bicubic B-Spline And Thin Plate Spline On Surface Appoximation by Liew, Khang Jie

    Published 2017
    “…The effectiveness of the modified B-spline approximation algorithm is investigated in approximating the bicubic B-spline surface from the samples of scattered data points taken from the point set model.…”
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    Thesis
  11. 11

    Using text mining algorithm to detect gender deception based on Malaysian chat room lingo / Dianne L. M. Cheong and Nur Atiqah Sia Abdullah @ Sia Sze Yieng by Cheong, Dianne L.M., Sia Abdullah, Nur Atiqah

    Published 2006
    “…Inference can be made both from writing style and from clues hidden in the posting data. A text-mining algorithm was designed to detect gender deception based on gender-preferential features at the word or clause level of Malaysian e-mail users. …”
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    Article
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    Enhancing predictive crime mapping model using association rule mining for geographical and demographic structure by Asmai, S. A.

    Published 2014
    “…This project proposed a data mining technique called Association Rule Mining. …”
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    Conference or Workshop Item
  15. 15

    New Curve Fitting Method for Petroleum Engineering Applications by Mohd Rosli, Muhammad Aizuddin

    Published 2014
    “…Unsuitable type of curve fitting may destroy the original feature of the data. This research is about the invention of new curve fitting method that combined two interpolation method which are Cubic Spline and Piecewise Cubic Hermite Interpolation Polynomial (PCHIP) with the reduction of data method. …”
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    Final Year Project
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    Exploring frogeye leaf spot disease severity in soybean through hyperspectral data analysis and machine learning with Orange Data Mining by Ang, Yuhao, Mohd Shafri, Helmi Zulhaidi, Al-Habshi, Mohammed Mustafa

    Published 2025
    “…No previous study has investigated Orange mining tool as visual programming approach in analysing hyperspectral reflectance data, especially in crop disease detection. …”
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    Article
  18. 18

    Efficient visualization of scattered energy distribution data by using cubic timmer triangular patches by Ali, F.A.M., Karim, S.A.A., Dass, S.C., Skala, V., Hasan, M.K., Hashim, I.

    Published 2019
    “…In order to apply the cubic Timmer triangular patches for scattered data interpolation, the data is first triangulated by using the Delaunay algorithm, and then the sufficient condition for C1 continuity is derived along the adjacent triangles. …”
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    Book
  19. 19

    Efficient visualization of scattered energy distribution data by using cubic timmer triangular patches by Ali, F.A.M., Karim, S.A.A., Dass, S.C., Skala, V., Hasan, M.K., Hashim, I.

    Published 2019
    “…In order to apply the cubic Timmer triangular patches for scattered data interpolation, the data is first triangulated by using the Delaunay algorithm, and then the sufficient condition for C1 continuity is derived along the adjacent triangles. …”
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    Book
  20. 20

    Stock price monitoring system by Ng, Chun Ming

    Published 2024
    “…Consequently, Root Mean Squared Error (RMSE) and Mean Absolute Percentage Error (MAPE) are used to evaluate the performance of the prediction algorithms. The methodology used in this project is Cross-Industry Standard Process for Data Mining (CRISP-DM), which is a common standard for data mining projects. …”
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    Final Year Project / Dissertation / Thesis