A Novel Algorithm for Class Imbalance Learning on Big Data using Uniform Sampling Strategy (USS) Technique

Authors

  • Imran M Dept. of Computer Science and Engineering, Muffakham Jah College of Engineering and technology, Banjara Hills, Hyderabad, Telangana, India

Keywords:

Class Imbalance Learning(CIL), Big Data, Sampling, Uniform Sampling Strategy Technique, Classification

Abstract

Big data consists of large volumes of data which are used to discover the hidden knowledge. Class imbalance nature is a conventional issue which is present in all real world datasets. The class imbalance nature in the big data reduces the performance of the existing classification algorithms. The data source of diverse nature available from varied sources also degrades the performance of the existing algorithms. To address these issues of class imbalance problem the present work proposed various novel and effective class imbalance learning (CIL) algorithms. In this work, we proposed Uniform Strategic Sampling (USS) Technique novel algorithms approaches for class imbalance data sources.

References

[1] Rukshan Batuwita and Vasile Palade, “CLASS IMBALANCE LEARNING METHODS FOR SUPPORT VECTOR MACHINES”, Imbalanced Learning: Foundations, Algorithms, and Applications, By Haibo He and Yunqian

Ma, Copyright c 2012 John Wiley & Sons, Inc.

[2] Rushi Longadge, Snehlata S. Dongre, Latesh Malik,” Class Imbalance Problem in Data Mining: Review”, International Journal of Computer Science and Network (IJCSN) Volume 2, Issue 1, February 2013. www.ijcsn.org ISSN 2277-5420.

[3] Kun Jiang, Jing Lu, Kuiliang Xia,” A Novel Algorithm for Imbalance Data Classification Based on Genetic Algorithm Improved SMOTE”, Arab J Sci. Eng, DOI 10.1007/s13369-016-2179-2.

[4] Shaza M. Abd Elrahman and Ajith Abraham, “A Review of Class Imbalance Problem” Journal of Network and Innovative Computing ISSN 2160-2174, Volume 1, pp. 332-340, 2013. ©MIR Labs, www.mirlabs.net/jnic/index.html

[5] Bartosz Krawczyk,” Learning from imbalanced data: open challenges and future directions”, Prog Artif Intell, DOI.10.1007/s13748-016-0094-0.

Downloads

Published

2025-11-12

How to Cite

[1]
M. Imran, “A Novel Algorithm for Class Imbalance Learning on Big Data using Uniform Sampling Strategy (USS) Technique”, Int. J. Comp. Sci. Eng., vol. 6, no. 3, pp. 503–506, Nov. 2025.

Issue

Vol. 6 No. 3 (2018): IJCSE March Edition

Section

Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.