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81
(k, l)-Clustering for Transactional Data Streams Anonymization
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82
The effects of data balancing approaches: A case study
Published 2023“…Our LC-HRMS dataset contains 1241 bovine urine samples, of which only 65 specimens were from animal studies and guaranteed to contain growth-stimulating hormones while the rest has been reported to be untreated, making it a ∼5% imbalanced dataset. In this research, classification algorithms, combined with resampling strategies and dimensionality reduction methods, were investigated to find a prediction model to correctly identify the samples of treated animals. …”
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83
Application of Data Mining to Predict and Diagnose Diabetic Retinopathy
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doctoralThesis -
84
GenDE: A CRF-Based Data Extractor
Published 2020“…Web site schema detection and data extraction from the Deep Web have been studied a lot. …”
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Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study
Published 2024“…</p><h3>Methods</h3><p dir="ltr">We conducted an analysis to identify research gaps in COVID-19 literature using the COVID-19 Open Research (CORD-19) data set, which comprises 1,121,433 papers related to the COVID-19 pandemic. …”
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88
Correlation Clustering via s-Club Cluster Edge Deletion
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masterThesis -
89
Block constrained pressure residual preconditioning for two-phase flow in porous media by mixed hybrid finite elements
Published 2023“…<p dir="ltr">This work proposes an original preconditioner that couples the Constrained Pressure Residual (CPR) method with block preconditioning for the efficient solution of the linearized systems of equations arising from fully implicit multiphase flow models. This preconditioner, denoted as Block CPR (BCPR), is specifically designed for Lagrange multipliers-based flow models, such as those generated by Mixed Hybrid Finite Element (MHFE) approximations. …”
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Indexing Arabic texts using association rule data mining
Published 2019“…Findings The proposed methodology shows significant enhancement in terms of accuracy, efficiency and reliability when compared to previous works. Research limitations/implications The stemming algorithm can be further enhanced. …”
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91
A method for data path synthesis using neural networks
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conferenceObject -
92
Using genetic algorithms to optimize software quality estimation models
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masterThesis -
93
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Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
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masterThesis -
95
A Parallel Neural Networks Algorithm for the Clique Partitioning Problem
Published 2002“…Our model uses a large number of simple processing elements or neurons, based on the McCulloch-Pitts binary neuron. …”
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Use of Data Mining Techniques to Detect Fraud in Procurement Sector
Published 2022“…The method used in this research is a classification of models and algorithms used in data mining. …”
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A Recommended Replacement Algorithm for the Scalable Asynchronous Cache Consistency Scheme
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99
The buffered work-pool approach for search-tree based optimization algorithms
Published 2017“…The well-known Maximum Clique problem is used as an exemplar to illustrate the utility of our approach. This research has been supported by the “Exploratory Data Intensive Computing for Complex Biological Systems” project from U.S. …”
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100