An Analysis of Local and Global Solutions to Address Big Data Imbalanced Classification: A Case Study with SMOTE Preprocessing-Reference-Cited by-同舟云学术

An Analysis of Local and Global Solutions to Address Big Data Imbalanced Classification: A Case Study with SMOTE Preprocessing

Published:2019 Issue: Volume: Page:75-85
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Basgall María José^ORCID,Hasperué Waldo^ORCID,Naiouf Marcelo^ORCID,Fernández Alberto^ORCID,Herrera Francisco^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-27713-0_7

Reference24 articles.

1. Chen, C.L.P., Zhang, C.-Y.: Data-intensive applications, challenges, techniques and technologies: a survey on big data. Inf. Sci. 275, 314–347 (2014)

2. Prati, R.C., Batista, G.E.A.P.A., Silva, D.F.: Class imbalance revisited: a new experimental setup to assess the performance of treatment methods. Knowl. Inf. Syst. 45(1), 247–270 (2015)

3. Dean, J., Ghemawat, S.: MapReduce: simplified data processing on large clusters. In: Proceedings of the 6th Conference on Symposium on Operating Systems Design and Implementation, OSDI 2004, vol. 6, p. 10. USENIX Association, Berkeley (2004)

4. Ramírez-Gallego, S., Fernández, A., García, S., Chen, M., Herrera, F.: Big data: tutorial and guidelines on information and process fusion for analytics algorithms with mapreduce. Inf. Fusion 42, 51–61 (2018)

5. García-Gil, D., Luengo, J., García, S., Herrera, F.: Enabling smart data: noise filtering in big data classification. Inf. Sci. 479, 135–152 (2019)

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel approach to marker genes selection: the case of leukemia;International Conference on Mathematical and Statistical Physics, Computational Science, Education and Communication (ICMSCE 2023);2023-12-20

2. Predicting Crowdedness Level of the Mass Rapid Transit (MRT) Platform Using Big Data Framework: A Case Study in Singapore;2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM);2023-12-18

3. Self-boosted with dynamic semi-supervised clustering method for imbalanced big data classification;Multimedia Tools and Applications;2022-05-20

4. Self-Boosted With Dynamic Semi-Supervised Clustering Method for Imbalanced Big Data Classification;International Journal of Software Innovation;2022-05-06

5. A Preliminary Study of SMOTE on Imbalanced Big Datasets When Dealing with Sparse and Dense High Dimensionality;Lecture Notes in Computer Science;2022