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Showing 1 - 20 results of 343 for search '(((( data mining algorithm ) OR ( solved using algorithm ))) OR ( relevant data algorithms ))', query time: 0.13s Refine Results
  1. 1
    Auto-indexing Arabic texts based on association rule data mining. (c2015)

    Auto-indexing Arabic texts based on association rule data mining. (c2015) by Rouba G. Nasrallah

    Published 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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  2. 2
    Web Based Online Hybrid Teaching Method of Network Music Course

    Web Based Online Hybrid Teaching Method of Network Music Course by Abu Zitar, Raed

    Published 2022
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  3. 3
    Mining airline data for CRM strategies. (c2006)

    Mining airline data for CRM strategies. (c2006) by Maalouf, Lena

    Published 2006
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  4. 4
    Indexing Arabic texts using association rule data mining

    Indexing Arabic texts using association rule data mining by Haraty, Ramzi A.

    Published 2019
    “…The model denotes extracting new relevant words by relating those chosen by previous classical methods to new words using data mining rules. …”
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  5. 5
    UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data

    UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data by Behrouz Ahadzadeh (19757022)

    Published 2024
    “…<p>Feature selection (FS) is a crucial technique in machine learning and data mining, serving a variety of purposes such as simplifying model construction, facilitating knowledge discovery, improving computational efficiency, and reducing memory consumption. …”
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  6. 6
    Cryptocurrency Exchange Market Prediction and Analysis Using Data Mining and Artificial Intelligence

    Cryptocurrency Exchange Market Prediction and Analysis Using Data Mining and Artificial Intelligence by Al Rayhi, Nasser

    Published 2020
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  7. 7
    Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm

    Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm by Abu Zitar, Raed

    Published 2022
    “…This is because placing data in an image can cause permanent distortion after data mining. …”
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  8. 8
    A Study on Applying Data Mining in Airline Industry for Demand Forecasting by predicting Item Criticality

    A Study on Applying Data Mining in Airline Industry for Demand Forecasting by predicting Item Criticality by KARAM, ZAINAB HAMDAN

    Published 2018
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  9. 9
    Sentiment Mining of Arabic Twitter Data

    Sentiment Mining of Arabic Twitter Data by Ahmed, Soha Galalaldin Khider

    Published 2014
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  10. 10
    An algorithm for solving bond pricing problem

    An algorithm for solving bond pricing problem by Dibeh, Ghassan

    Published 2002
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  11. 11
    Predicting Dropouts among a Homogeneous Population using a Data Mining Approach

    Predicting Dropouts among a Homogeneous Population using a Data Mining Approach by BILQUISE, GHAZALA

    Published 2019
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  12. 12
    DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data

    DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data by Assaf, Ali

    Published 2022
    Subjects: “…Data mining…”
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  13. 13
    The Effects of Data Mining on Small Businesses in Dubai

    The Effects of Data Mining on Small Businesses in Dubai by AlMutawa, Rasha

    Published 2011
    “…While there are numerous studies on the best data mining models and their uses, even on certain industries, this study focuses on the applications more than the algorithms and models and their usefulness for small businesses specifically. …”
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  14. 14
    Genetic Algorithm Analysis using the Graph Coloring Method for Solving the University Timetable Problem

    Genetic Algorithm Analysis using the Graph Coloring Method for Solving the University Timetable Problem by Haraty, Ramzi A.

    Published 2018
    “…Genetic algorithms were successfully useful to solve many optimization problems including the university Timetable Problem. …”
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  15. 15
    Application of Data Mining to Predict and Diagnose Diabetic Retinopathy

    Application of Data Mining to Predict and Diagnose Diabetic Retinopathy by Haniyeh, Maryam

    Published 2024
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  16. 16
    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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  17. 17
    Towards Scalable Process Mining Pipelines

    Towards Scalable Process Mining Pipelines by Mohamed, Belal

    Published 2023
    “…Contributions have covered the spectrum of better algorithms, richer comparison metrics, and movement towards online analysis for process data. …”
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  18. 18
    Data mining approach to predict student's selection of program majors

    Data mining approach to predict student's selection of program majors by SIDDARTHA, SHARMILA

    Published 2019
    “…The approach includes a methodology to manage data mining projects, sampling techniques to handle imbalanced data and multiclass data, a set of classification algorithms to predict and measures to evaluate performance of models. …”
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  19. 19
    Use of Data Mining Techniques to Detect Fraud in Procurement Sector

    Use of Data Mining Techniques to Detect Fraud in Procurement Sector by AL HAMMADI, SUMAYYA ABDULLA

    Published 2022
    “…The method used in this research is a classification of models and algorithms used in data mining. All techniques also will be studied; they include clustering, tracking patterns, classifications and outlier detection. …”
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  20. 20
    An evolutionary algorithm for solving the geometrically constrained site layout problem

    An evolutionary algorithm for solving the geometrically constrained site layout problem by Zouein, P.

    Published 2017
    “…This paper presents an investigation of applying an evolutionary approach to optimally solve the aforementioned layout problem. The proposed algorithm is two-phases: an initialization phase that generates an initial population of layouts through a sequence of mutation operations, and a reproduction phase that evolve the layouts generated in phase one through a sequence of genetic operations aiming at finding an optimal layout. …”
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