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Showing 21 - 40 results of 530 for search '(((( data modeling algorithm ) OR ( data clustering algorithm ))) OR ( recent study algorithm ))', query time: 0.15s Refine Results
  1. 21
    NEW ALGORITHMS FOR SOLVING THE FUZZY CLUSTERING PROBLEM

    NEW ALGORITHMS FOR SOLVING THE FUZZY CLUSTERING PROBLEM by Kamel, M.S.

    Published 2020
    “…Two new algorithms for fuzzy clustering are presented. Convergence of the proposed algorithms is proved. …”
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  2. 22
    Multi-Cluster Jumping Particle Swarm Optimization for Fast Convergence

    Multi-Cluster Jumping Particle Swarm Optimization for Fast Convergence by Atiq Ur Rehman (8843024)

    Published 2020
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  3. 23
    (k, l)-Clustering for Transactional Data Streams Anonymization

    (k, l)-Clustering for Transactional Data Streams Anonymization by Tekli, Jimmy

    Published 2018
    “…We evaluate our algorithm in terms of utility by considering two different (k, l)-clustering approaches.…”
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  4. 24
    Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation

    Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation by Hariprasath Manoharan (14157966)

    Published 2023
    “…A cluster node is connected in each clustered region and provides the central control center with the necessary data. …”
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  5. 25
    Efficient Approximate Conformance Checking Using Trie Data Structures

    Efficient Approximate Conformance Checking Using Trie Data Structures by Awad, Ahmed

    Published 2021
    Subjects: “…Estimation error,Runtime,Computational modeling,Data structures,Approximation algorithms,Encoding,Computational efficiency…”
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  6. 26
    Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization

    Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization by Abu Zitar, Raed

    Published 2022
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  7. 27
    Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark

    Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark by Ameema Zainab (16864263)

    Published 2021
    “…However, with the huge increase in data size, sophisticated models have to be created which require big data platforms. …”
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  8. 28
    Development of an Optimization Algorithm for Internet Data Traffic

    Development of an Optimization Algorithm for Internet Data Traffic by Misbahuddin, Syed

    Published 2020
    “…In this paper, an optimization algorithm is proposed to reduce net data traffic, which works at Internet layer in the TCP/IP reference model. …”
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  9. 29
    Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm

    Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm by Odat, Alhaj-Saleh A.

    Published 2024
    “…This article outlines the input data and partial shading conditions employed in the replication model of Sequential Monte Carlo (SMC)-based tracking techniques for photovoltaic (PV) systems. …”
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  10. 30
    Load Partitioning for Matrix-Matrix Multiplication on a Cluster of CPUGPU Nodes Using the Divisible Load Paradigm

    Load Partitioning for Matrix-Matrix Multiplication on a Cluster of CPUGPU Nodes Using the Divisible Load Paradigm by Elhiny, Lamees

    Published 2016
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  11. 31
    A Tabu Search algorithm for mapping data to multicomputers. (c1997)

    A Tabu Search algorithm for mapping data to multicomputers. (c1997) by Diab, Kamal M.

    Published 1997
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  12. 32
    Distributed dimension reduction algorithms for widely dispersed data

    Distributed dimension reduction algorithms for widely dispersed data by Abu-Khzam, F.N.

    Published 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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  13. 33
    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
    “…While there are several theoretical perspectives of retention, which study the factors that cause students to drop out, more recent studies rely on a data mining and machine learning approach to explore the problem of retention. …”
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  14. 34
    A neural networks algorithm for data path synthesis

    A neural networks algorithm for data path synthesis by Harmanani, Haidar M.

    Published 2003
    “…This paper presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …”
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  15. 35
    Allocating data to distributed-memory multiprocessors by genetic algorithms

    Allocating data to distributed-memory multiprocessors by genetic algorithms by Mansour, Nashat

    Published 2016
    “…We present three genetic algorithms (GAs) for allocating irregular data sets to multiprocessors. …”
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  16. 36
    Variable Selection in Data Analysis: A Synthetic Data Toolkit

    Variable Selection in Data Analysis: A Synthetic Data Toolkit by Mitra, Rohan

    Published 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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  17. 37
    Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering

    Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering by Saadia Jamil (22045946)

    Published 2024
    “…<p dir="ltr">Clustering has proved to be a successful classification method when it comes to dealing with multiview data. …”
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  18. 38
    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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  19. 39
    Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications

    Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications by Hussie, Abdelazim

    Published 2022
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  20. 40
    Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing

    Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing by Al Sadawi, Alia

    Published 2016
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