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  1. 61
    Arabic text recognition

    Arabic text recognition by Haraty, Ramzi

    Published 2004
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  2. 62
    Cluster-based anonymity model and algorithm for 1:1 dataset with a single sensitive attribute using machine learning technique

    Cluster-based anonymity model and algorithm for 1:1 dataset with a single sensitive attribute using machine learning technique by J. Jayapradha (21323774)

    Published 2024
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  3. 63
    Genetic and heuristic algorithms for regrouping service sites. (c2000)

    Genetic and heuristic algorithms for regrouping service sites. (c2000) by Tabbara, Hiba

    Published 2000
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  4. 64
    A Survey of Data Clustering Techniques

    A Survey of Data Clustering Techniques by Sobeh, Salma

    Published 2023
    “…Clustering, an unsupervised learning technique, aims to identify a specific number of clusters to effectively categorize the data through data grouping. Hence, clustering is related to many fields and is used in various applications that deal with large datasets. …”
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  5. 65
    How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation

    How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation by Joni Salminen (7434770)

    Published 2023
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  6. 66
    Clustering/partitioning algorithms and comparative analysis

    Clustering/partitioning algorithms and comparative analysis by Touma, Walid Rachid

    Published 1989
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  7. 67
    Segmenting Handwritten Arabic Text

    Segmenting Handwritten Arabic Text by Haraty, Ramzi A.

    Published 2002
    “…In this work a technique is presented that segments difficult handwritten Arabic text. A conventional algorithm is used for the initial segmentation of the text into connected blocks of characters. …”
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  8. 68
    A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT

    A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT by Dhananjay Bisen (19482454)

    Published 2023
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  9. 69
    A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015)

    A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015) by Wehbe, Gioia Wahib

    Published 2016
    “…New technologies, such as Next-Generation Genome Sequencing, can now provide huge amounts of data in little time. Big initiatives such as the International Hapmap Project and the 1000 Genome project are making use of these technologies to provide the scientific community with a detailed genetic reference from different populations. …”
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  10. 70
    Predict Student Success and Performance factors by analyzing educational data using data mining techniques

    Predict Student Success and Performance factors by analyzing educational data using data mining techniques by ATIF, MUHAMMAD

    Published 2022
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  11. 71
    A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems

    A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems by Wali Khan Mashwani (14590504)

    Published 2021
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  12. 72
    Capturing outline of fonts using genetic algorithm and splines

    Capturing outline of fonts using genetic algorithm and splines by Sarfraz, M.

    Published 2001
    “…Some examples are given to show the results obtained from the algorithm…”
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  13. 73
    Using Data Mining in CRM to Understand the Insurance Market

    Using Data Mining in CRM to Understand the Insurance Market by Qadadeh, Wafa

    Published 2016
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  14. 74
    A feature‐based approach for guiding the selection of Internet of Things cybersecurity standards using text mining

    A feature‐based approach for guiding the selection of Internet of Things cybersecurity standards using text mining by Koen Schaaf (14778139)

    Published 2021
    “…Third, a text mining algorithm has been implemented. Fourth, the systematic approach has been modeled using business process modeling notation. …”
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  15. 75
    Privacy-Preserving Fog Aggregation of Smart Grid Data Using Dynamic Differentially-Private Data Perturbation

    Privacy-Preserving Fog Aggregation of Smart Grid Data Using Dynamic Differentially-Private Data Perturbation by Fawaz Kserawi (16904859)

    Published 2022
    “…We describe our differentially-private model with flexible constraints and a dynamic window algorithm to maintain the privacy-budget loss in infinitely generated time-series data. …”
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  16. 76
    A Novel Big Data Classification Technique for Healthcare Application Using Support Vector Machine, Random Forest and J48

    A Novel Big Data Classification Technique for Healthcare Application Using Support Vector Machine, Random Forest and J48 by Al-Manaseer, Hitham

    Published 2022
    “…The performance of the algorithms for accuracy was evaluated using the Healthcare (heart attack possibility) dataset, freely available on kagle. …”
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  17. 77
    Revolutionizing sustainable supply chain management: A review of metaheuristics

    Revolutionizing sustainable supply chain management: A review of metaheuristics by Abualigah, Laith

    Published 2023
    “…The paper also identifies the key factors that influence the success of using metaheuristics for SSCM, such as the choice of algorithm, problem complexity, and data quality. …”
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  18. 78
    A method for data path synthesis using neural networks

    A method for data path synthesis using neural networks by Harmanani, H.

    Published 2017
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  19. 79
    Economic load dispatch using memetic sine cosine algorithm

    Economic load dispatch using memetic sine cosine algorithm by Abu Zitar, Raed

    Published 2022
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  20. 80
    Using genetic algorithms to optimize software quality estimation models

    Using genetic algorithms to optimize software quality estimation models by Azar, Danielle

    Published 2004
    “…In the first approach, we assume the existence of several models, and we use a genetic algorithm to combine them, and adapt them to a given data set. …”
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