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kClusterHub: An AutoML-Driven Tool for Effortless Partition-Based Clustering over Varied Data Types

Future internet, 2023-10, Vol.15 (10), p.341

2023

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Prototype Selection for Multilabel Instance-Based Learning

Information (Basel), 2023-10, Vol.14 (10), p.572

2023

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Data Analysis and Mining

2023

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Fast Training Set Size Reduction Using Simple Space Partitioning Algorithms

Information (Basel), 2022-12, Vol.13 (12), p.572

2022

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Rating Prediction Quality Enhancement in Low-Density Collaborative Filtering Datasets

Big data and cognitive computing, 2023-06, Vol.7 (2), p.59

2023

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Knowledge Graphs and Semantic Web Tools in Cyber Threat Intelligence: A Systematic Literature Review

Journal of cybersecurity and privacy, 2024-08, Vol.4 (3), p.518-545

2024

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Neural Networks for Early Diagnosis of Postpartum PTSD in Women after Cesarean Section

Applied sciences, 2022-08, Vol.12 (15), p.7492

2022

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RHC: a non-parametric cluster-based data reduction for efficient k-NN classification

Pattern analysis and applications : PAA, 2016-02, Vol.19 (1), p.93-109

2016

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Fast data reduction by space partitioning via convex hull and MBR computation

Pattern recognition, 2022-06, Vol.126, p.108553, Article 108553

2022

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Exploring the effect of data reduction on Neural Network and Support Vector Machine classification

Neurocomputing (Amsterdam), 2018-03, Vol.280, p.101-110

2018

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Data reduction via multi-label prototype generation

Neurocomputing (Amsterdam), 2023-03, Vol.526, p.1-8

2023

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Reduction Through Homogeneous Clustering: Variations for Categorical Data and Fast Data Reduction

SN computer science, 2024-06, Vol.5 (6), p.671, Article 671

2024

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Simplifying Decision Tree Classification Through the AutoDTrees Web Application and Service

Generative Intelligence and Intelligent Tutoring Systems, p.162-173

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Efficient editing and data abstraction by finding homogeneous clusters

Annals of mathematics and artificial intelligence, 2016-04, Vol.76 (3-4), p.327-349

2016

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Sentiment Dimensions and Intentions in Scientific Analysis: Multilevel Classification in Text and Citations

Electronics (Basel), 2024-05, Vol.13 (9), p.1753

2024

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RHC: a non-parametric cluster-based data reduction for efficient $$k$$ k -NN classification

Pattern analysis and applications : PAA, 2016-02, Vol.19 (1), p.93-109

2016

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Efficient k-NN classification based on homogeneous clusters

The Artificial intelligence review, 2014-10, Vol.42 (3), p.491-513

2014

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Efficient ...-NN classification based on homogeneous clusters

The Artificial intelligence review, 2014-10, Vol.42 (3), p.491-513

2014

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Efficient $$k$$ k -NN classification based on homogeneous clusters

The Artificial intelligence review, 2014-10, Vol.42 (3), p.491-513

2014

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Efficient data abstraction using weighted IB2 prototypes

Computer Science and Information Systems, 2014, Vol.11 (2), p.665-678

2014

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Instance-based classification using prototypes generated from large noisy and streaming datasets

Computer Science and Information Systems, 2020, Vol.17 (1), p.71-92

2020

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Improving Data Reduction by Merging Prototypes

Advances in Databases and Information Systems, p.20-32

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Prototype Generation for Multi-label Nearest Neighbours Classification

Hybrid Artificial Intelligent Systems, p.172-183

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WebApriori: A Web Application for Association Rules Mining

Intelligent Tutoring Systems, 2020, Vol.12149, p.371-377

2020

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Dynamic k-NN Classification Based on Region Homogeneity

New Trends in Databases and Information Systems, p.27-37

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kClusterHub: An AutoML-Driven Tool for Effortless Partition-Based Clustering over Varied Data Types

Prototype Selection for Multilabel Instance-Based Learning

Data Analysis and Mining

Fast Training Set Size Reduction Using Simple Space Partitioning Algorithms

Rating Prediction Quality Enhancement in Low-Density Collaborative Filtering Datasets

Knowledge Graphs and Semantic Web Tools in Cyber Threat Intelligence: A Systematic Literature Review

Neural Networks for Early Diagnosis of Postpartum PTSD in Women after Cesarean Section

RHC: a non-parametric cluster-based data reduction for efficient k-NN classification

Fast data reduction by space partitioning via convex hull and MBR computation

Exploring the effect of data reduction on Neural Network and Support Vector Machine classification

Data reduction via multi-label prototype generation

Reduction Through Homogeneous Clustering: Variations for Categorical Data and Fast Data Reduction

Simplifying Decision Tree Classification Through the AutoDTrees Web Application and Service

Efficient editing and data abstraction by finding homogeneous clusters

Sentiment Dimensions and Intentions in Scientific Analysis: Multilevel Classification in Text and Citations

RHC: a non-parametric cluster-based data reduction for efficient $$k$$ k -NN classification

Efficient k-NN classification based on homogeneous clusters

Efficient ...-NN classification based on homogeneous clusters

Efficient $$k$$ k -NN classification based on homogeneous clusters

Efficient data abstraction using weighted IB2 prototypes

Instance-based classification using prototypes generated from large noisy and streaming datasets

Improving Data Reduction by Merging Prototypes

Prototype Generation for Multi-label Nearest Neighbours Classification

WebApriori: A Web Application for Association Rules Mining

Dynamic k-NN Classification Based on Region Homogeneity

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