يعرض 1 - 20 نتائج من 427 نتيجة بحث عن '(((( element modeling algorithm ) OR ( element data algorithm ))) OR ( data research algorithm ))', وقت الاستعلام: 0.13s تنقيح النتائج
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    Bird’s Eye View feature selection for high-dimensional data حسب Samir Brahim Belhaouari (16855434)

    منشور في 2023
    "…However, high dimensional data often contains irrelevant features, outliers, and noise, which can negatively impact model performance and consume computational resources. …"
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    Development of an Optimization Algorithm for Internet Data Traffic حسب Misbahuddin, Syed

    منشور في 2020
    "…The algorithm monitors data repetitions in IP datagram and prepares a compression code in response of this repetition. …"
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    article
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    Correlation Clustering with Overlaps حسب Fakhereldine, Amin

    منشور في 2020
    "…Moreover, we allow the new vertex splitting operation, which allows the resulting clusters to overlap. In other words, data elements (or vertices) will be allowed to be members in more than one cluster instead of limiting them to only one single cluster, as in classical clustering methods. …"
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    masterThesis
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    DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data حسب Assaf, Ali

    منشور في 2022
    "…In this work, we present DG-means, which is a greedy algorithm that performs on distributed sets of data. …"
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    masterThesis
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    Cryptocurrency Exchange Market Prediction and Analysis Using Data Mining and Artificial Intelligence حسب Al Rayhi, Nasser

    منشور في 2020
    "…Cryptocurrency exchange market have a lot of fake news articles which can affect the market prices by fooling people either to buy or to sell. This research aims to tackle the unpredictability of fluctuating crypto currency prices by researching peer-reviewed articles and determine the applicability of AI algorithm and data mining and its implications for the cryptocurrency market. …"
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    XBeGene: Scalable XML Documents Generator by Example Based on Real Data حسب Harazaki, Manami

    منشور في 2012
    "…Inspired by the query-by-example paradigm in information retrieval, Our generator system i)allows the user to provide her own sample XML documents as input, ii) analyzes the structure, occurrence frequencies, and content distributions for each XML element in the user input documents, and iii) produces synthetic XML documents which closely concur, in both structural and content features, to the user's input data. …"
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    conferenceObject