An Hybrid Approach Based on Clustering and Synthetic Sample Generation for Imbalance Data Classification: ClustSyn

Proceedings of Data Analytics and Management - Lecture Notes on Data Engineering and Communications Technologies ◽

10.1007/978-981-16-6289-8_63 ◽

2022 ◽

pp. 775-784

Author(s):

Gillala Rekha ◽

Sailaja Madhu

Keyword(s):

Hybrid Approach ◽

Data Classification ◽

Synthetic Sample ◽

Imbalance Data

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A Hybrid Approach to Feature Ranking for Microarray Data Classification

Engineering Applications of Neural Networks - Communications in Computer and Information Science ◽

10.1007/978-3-642-41016-1_26 ◽

2013 ◽

pp. 241-248 ◽

Cited By ~ 1

Author(s):

Dusan Popovic ◽

Alejandro Sifrim ◽

Charalampos Moschopoulos ◽

Yves Moreau ◽

Bart De Moor

Keyword(s):

Microarray Data ◽

Hybrid Approach ◽

Data Classification ◽

Feature Ranking

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Designing a Model to Handle Imbalance Data Classification Using SMOTE and Optimized Classifier

Data Management, Analytics and Innovation - Advances in Intelligent Systems and Computing ◽

10.1007/978-981-15-5616-6_23 ◽

2020 ◽

pp. 323-334

Author(s):

Shraddha Shivaji Nimankar ◽

Deepali Vora

Keyword(s):

Data Classification ◽

Imbalance Data

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A Novel Nonparallel Plane Proximal SVM for Imbalance Data Classification

Journal of Software ◽

10.4304/jsw.9.9.2384-2392 ◽

2014 ◽

Vol 9 (9) ◽

Cited By ~ 2

Author(s):

Bing Yang ◽

Ling Jing

Keyword(s):

Data Classification ◽

Imbalance Data ◽

Nonparallel Plane

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Imbalance Data Classification Based on Belief Function Theory

10.1007/978-3-030-88601-1_10 ◽

2021 ◽

pp. 96-104

Author(s):

Jiawei Niu ◽

Zhunga Liu

Keyword(s):

Function Theory ◽

Data Classification ◽

Belief Function ◽

Imbalance Data ◽

Belief Function Theory

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A hybrid approach for breast tissue data classification

TENCON 2009 - 2009 IEEE Region 10 Conference ◽

10.1109/tencon.2009.5396116 ◽

2009 ◽

Cited By ~ 2

Author(s):

Dilip Kumar Prasad ◽

Chai Quek ◽

Maylor K. H. Leung

Keyword(s):

Breast Tissue ◽

Hybrid Approach ◽

Data Classification

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Balancing of the Imbalance data classification using Data Intrinsic characteristics

2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) ◽

10.1109/iemcon.2018.8614861 ◽

2018 ◽

Author(s):

Harpreet Singh Bror

Keyword(s):

Data Classification ◽

Imbalance Data ◽

Using Data

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Imbalance Data Classification Using Local Mahalanobis Distance Learning Based on Nearest Neighbor

SN Computer Science ◽

10.1007/s42979-020-0085-x ◽

2020 ◽

Vol 1 (2) ◽

Author(s):

Nijaguna Gollara Siddappa ◽

Thippeswamy Kampalappa

Keyword(s):

Distance Learning ◽

Mahalanobis Distance ◽

Nearest Neighbor ◽

Data Classification ◽

Imbalance Data

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Hybrid approach for tuberculosis data classification using optimal centroid selection based clustering

2014 Students Conference on Engineering and Systems ◽

10.1109/sces.2014.6880115 ◽

2014 ◽

Author(s):

Manish Shukla ◽

Sonali Agarwal

Keyword(s):

Hybrid Approach ◽

Data Classification

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A Semi-Supervised Hybrid Approach for Multitemporal Multi-Region Multisensor Landsat Data Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2016.2623567 ◽

2016 ◽

Vol 9 (12) ◽

pp. 5424-5435 ◽

Cited By ~ 7

Author(s):

Edgar Leonairo Pencue-Fierro ◽

Yady Tatiana Solano-Correa ◽

Juan Carlos Corrales-Munoz ◽

Apolinar Figueroa-Casas

Keyword(s):

Hybrid Approach ◽

Data Classification ◽

Landsat Data

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A Novel Algorithm for Imbalance Data Classification Based on Genetic Algorithm Improved SMOTE

Arabian Journal for Science and Engineering ◽

10.1007/s13369-016-2179-2 ◽

2016 ◽

Vol 41 (8) ◽

pp. 3255-3266 ◽

Cited By ~ 16

Author(s):

Kun Jiang ◽

Jing Lu ◽

Kuiliang Xia

Keyword(s):

Genetic Algorithm ◽

Data Classification ◽

Imbalance Data ◽

Novel Algorithm

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