يعرض 1 - 20 نتائج من 207 نتيجة بحث عن '(( relevant data algorithm ) OR ((( data code algorithm ) OR ( based mean algorithm ))))', وقت الاستعلام: 0.14s تنقيح النتائج
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    UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data حسب Behrouz Ahadzadeh (19757022)

    منشور في 2024
    "…UniBFS exploits the inherent characteristic of binary algorithms-binary coding-to search the entire problem space for identifying relevant features while avoiding irrelevant ones. …"
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    How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation حسب Joni Salminen (7434770)

    منشور في 2023
    "…We found researchers employing 46 different algorithms and 14 different evaluation metrics. For the algorithms, K-means clustering is the most employed. …"
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    Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm حسب Nasser, Youssef

    منشور في 2024
    "…Various clustering methods are available, including K-means, hierarchical clustering, and density-based clustering. …"
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    masterThesis
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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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    Variable Selection in Data Analysis: A Synthetic Data Toolkit حسب Mitra, Rohan

    منشور في 2024
    "…Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …"
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    article
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    Practical single node failure recovery using fractional repetition codes in data centers حسب Itani, May

    منشور في 2016
    "…FR codes consist of a concatenation of an outer maximum distance separable (MDS) code and an inner fractional repetition code that splits the data into several blocks and stores multiple replicas of each on different nodes in the system. …"
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    conferenceObject
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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
    "…Using the Bayesian information criterion, the similarity measure is employed to evaluate the similarity between the patterns and cluster weight. Based on the similarity value, patterns are assigned to either relevant or irrelevant groups. …"
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    A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT حسب Dhananjay Bisen (19482454)

    منشور في 2023
    "…This research proposed a hybrid model for energy-efficient cluster formation and a head selection (E-CFSA) algorithm based on convolutional neural networks (CNNs) and a modified k-mean clustering (MKM) method for MEC. …"
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    A Tabu Search-Based Algorithm For The Fuzzy Clustering Problem حسب AlSultan, K.S.

    منشور في 2020
    "…We compare the performance of the algorithm with the fuzzy Cmeans algorithm.…"
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    article
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    Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators حسب Abu Zitar, Raed

    منشور في 2021
    "…The outcomes of the DNA microarray is a table/matrix, called gene expression data. Pattern recognition algorithms are widely applied to gene expression data to differentiate between health and cancerous patient samples. …"
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    Auto-indexing Arabic texts based on association rule data mining. (c2015) حسب Rouba G. Nasrallah

    منشور في 2015
    "…Our model denotes extracting new relevant words by relating those chosen by the previous classical methods, to new words using data mining rules. …"
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    masterThesis
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