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Showing 1 - 20 results of 306 for search '(( element method algorithm ) OR ((( data finding algorithm ) OR ( data settings algorithm ))))', query time: 0.13s Refine Results
  1. 1
    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
    “…Additionally, it was able to identify several differentiable regions in the real data set and on different chromosomes. However, we noticed that chromosomes 1, 3 and 6 had the highest occurrence rate of differentiable motifs (9, 8 and 6 motifs respectively). …”
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  2. 2
    Matheuristic Fixed Set Search Applied to the Two-Stage Capacitated Facility Location Problem

    Matheuristic Fixed Set Search Applied to the Two-Stage Capacitated Facility Location Problem by Denis Alicic (23073484)

    Published 2025
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  3. 3
    Automatic keyword extraction from a real estate classifieds data set

    Automatic keyword extraction from a real estate classifieds data set by Devassy, Dibin

    Published 2011
    “…Keywords are considered to be a solution to this problem and are now widely used to search the information over the internet.In this project we analyze a real estate classifieds data set, with an objective to find keywords that represent this data set. …”
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  4. 4
    Mapping realistic data sets on parallel computers

    Mapping realistic data sets on parallel computers by Mansour, N.

    Published 1993
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  5. 5
    Parallel genetic algorithm for disease-gene association

    Parallel genetic algorithm for disease-gene association by Mansour, Nashat

    Published 2011
    “…In this work, we combine few successful strategies from the literature and present a parallel genetic algorithm for the Tag SNP Selection problem. Our results compared favorably with those of a recognized tag SNP selection algorithm using three different data sets from the HapMap project.…”
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  6. 6
    A SIMULATED ANNEALING ALGORITHM FOR THE CLUSTERING PROBLEM

    A SIMULATED ANNEALING ALGORITHM FOR THE CLUSTERING PROBLEM by Selim, S.Z.

    Published 2020
    “…We also find optimal parameters values for a specific class of data sets and give recommendations on the choice of parameters for general data sets. …”
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  7. 7
    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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  8. 8
    Data reductions and combinatorial bounds for improved approximation algorithms

    Data reductions and combinatorial bounds for improved approximation algorithms by Abu-Khzam, Faisal N.

    Published 2016
    “…Kernelization algorithms in the context of Parameterized Complexity are often based on a combination of data reduction rules and combinatorial insights. …”
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  9. 9
    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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  10. 10
    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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  11. 11
    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. Design/methodology/approach The proposed model uses an association rule algorithm for extracting frequent sets containing related items – to extract relationships between words in the texts to be indexed with words from texts that belong to the same category. …”
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  12. 12
    On the Optimization of Band Gaps in Periodic Waveguides

    On the Optimization of Band Gaps in Periodic Waveguides by Jamil Renno (14070771)

    Published 2025
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  13. 13
    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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  14. 14
    Physical optimization algorithms for mapping data to distributed-memory multiprocessors

    Physical optimization algorithms for mapping data to distributed-memory multiprocessors by Mansour, Nashat

    Published 1992
    “…We also present a technique for efficient mapping of large data sets. The algorithms include a parallel genetic algorithm (PGA), a parallel neural network algorithm (PNN) and a parallel simulated annealing algorithm (PSA). …”
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  15. 15
    Hardening the ElGamal cryptosystem in the setting of the second group of units. (c2011)

    Hardening the ElGamal cryptosystem in the setting of the second group of units. (c2011) by Fanous, Suzan Mohamad

    Published 2011
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  16. 16
    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
    “…In this work, we present DG-means, which is a greedy algorithm that performs on distributed sets of data. …”
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  17. 17
    Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain

    Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain by Al Sadawi, Alia

    Published 2021
    “…This work investigates the problem of scheduling the processing of tasks with non-identical sizes and different priorities on a set of parallel processors. An iterative dynamic scheduling algorithm (DCSDBP) was developed to address the data batching process. …”
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  18. 18
    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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  19. 19
    On the steiner walk problem. (c2009)

    On the steiner walk problem. (c2009) by Maarouf, Amina

    Published 2009
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  20. 20
    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
    “…The slime mould algorithm (SMA) gives good results in finding the best solutions to optimization problems. …”
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