يعرض 21 - 40 نتائج من 390 نتيجة بحث عن '(( element data algorithm ) OR ((( data clustering algorithm ) OR ( data learning algorithm ))))', وقت الاستعلام: 0.15s تنقيح النتائج
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    Random Forest Bagging and X‐Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data حسب Rajesh Kumar Dhanaraj (19646269)

    منشور في 2021
    "…Then, for each pattern, various weak clusters are constructed via X‐means clustering and are utilized as the weak learner (clusters). …"
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    A SIMULATED ANNEALING ALGORITHM FOR THE CLUSTERING PROBLEM حسب Selim, S.Z.

    منشور في 2020
    "…In this paper we discuss the solution of the clustering problem usually solved by the K-means algorithm. …"
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    article
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    NEW ALGORITHMS FOR SOLVING THE FUZZY CLUSTERING PROBLEM حسب Kamel, M.S.

    منشور في 2020
    "…Two new algorithms for fuzzy clustering are presented. Convergence of the proposed algorithms is proved. …"
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    article
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    Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms حسب Usman Ali (6586886)

    منشور في 2022
    "…The accuracy of these algorithms was assessed with standard statistical measures and ground truth data randomly collected in Prince Edward Island, Canada. …"
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    Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark حسب Ameema Zainab (16864263)

    منشور في 2021
    "…<p>Machine learning algorithms have been intensively applied to perform load forecasting to obtain better accuracies as compared to traditional statistical methods. …"
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    Methodology for Analyzing the Traditional Algorithms Performance of User Reviews Using Machine Learning Techniques حسب Abdul Karim (417009)

    منشور في 2020
    "…In this research, different machine-learning algorithms such as logistic regression, random forest and naïve Bayes were tuned and tested. …"
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    Distributed dimension reduction algorithms for widely dispersed data حسب Abu-Khzam, F.N.

    منشور في 2002
    "…It is well known that information retrieval, clustering and visualization can often be improved by reducing the dimensionality of high dimensional data. …"
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    conferenceObject
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