Search Results - (( some applications mining algorithm ) OR ( its application learning algorithm ))*

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    Named entity recognition using a new fuzzy support vector machine. by Mansouri, Alireza, Affendy, Lilly Suriani, Mamat, Ali

    Published 2008
    “…Machine learning method is more famous and applicable than others, because it’s more portable and domain independent. …”
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    Article
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    Class binarization with self-adaptive algorithm to improve human activity recognition by Zainudin, Muhammad Noorazlan Shah

    Published 2018
    “…Therefore, feature selection using Relief-f with self-adaptive Differential Evolution (rsaDE) algorithm is proposed to select the most significant features. …”
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    Thesis
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    Efficient prime-based method for interactive mining of frequent patterns. by Mohammad Hossein, Nadimi Shahraki, Mustapha, Norwati, Sulaiman, Md. Nasir, Mamat, Ali

    Published 2011
    “…This is because the appropriate value depends on the type of application and expectation of the user. Moreover, in some real-time applications such as web mining and e-business, finding new correlations between patterns by changing the minimum support threshold is needed. …”
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    Article
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    The application of neural network data mining algorithm into mixed pixel classification in geographic information system environment by Nanna Suryana, Herman

    Published 2007
    “…This , paper discusses the development of data mining and pattern recognition algorithm to handle the complexity of hyperspectral remote sensing images in Geographical Information Systems environment. …”
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    Conference or Workshop Item
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    An association rule mining approach in predicting flood areas by Mokhairi, Makhtar, Nur Ashikin, Harun, Azwa, Abdul Aziz, Zahrahtul Amani, Zakaria, Engku Fadzli Hasan, Syed Abdullah, Julaily Aida, Jusoh

    Published 2017
    “…This study focuses on the application of Association rules mining for the flood data in Terengganu. …”
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    Conference or Workshop Item
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    Paper Survey And Example Of Collaborative Filtering Implementation In Recommender System by Hanafi, Suryana, Nanna, Hasan Basari, Abd Samad

    Published 2017
    “…Further research can provide newer algorithm to handle cold start problem and sparse data from both text mining and mining computation perspectives.…”
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    Article
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    Validation of deep convolutional neural network for age estimation in children using mandibular premolars on digital panoramic dental imaging / Norhasmira Mohammad by Mohammad, Norhasmira

    Published 2022
    “…Estimating the age of the deceased bodies at the forensic scene is also essential in some instances. Traditionally, age estimation is dependent on radiographic examinations, and its application requires human competence. …”
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    Thesis
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    An artificial immune system model as talent performance predictor / Siti ‘Aisyah Sa’dan, Hamidah Jantan and Mohd Hanapi Abdul Latif by Sa’dan, Siti ‘Aisyah, Jantan, Hamidah, Abdul Latif, Mohd Hanapi

    Published 2016
    “…The objective of this study is to propose a prediction model based on bio-inspired algorithm for talent knowledge discovery through some experiments. …”
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    Research Reports
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    Outlier Detection Technique in Data Mining: A Research Perspective by Mansur, M. O., Md. Sap, Mohd. Noor

    Published 2005
    “…Outlier detection as a branch of data mining has many important applications, and deserves more attention from data mining community. …”
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    Conference or Workshop Item
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    Utilisation of Exponential-Based Resource Allocation and Competition in Artificial Immune Recognition System by Hormozi, Shahram Golzari

    Published 2011
    “…There has been a rapid growth in using Artificial Immune Systems for applications in data mining and computational intelligence recently. …”
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    Thesis
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    Data Mining On Machine Breakdowns And Effectiveness Of Scheduled Maintenance by Tan, Su Sze

    Published 2019
    “…However, it requires a large amount of cost to be invested in maintenance. Last but not least, some of the complex data mining tasks are not able to perform because of the limited algorithms and machine learning in Orange software.…”
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    Monograph
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