Efficient DANNLO classifier for multi-class imbalanced data on Hadoop-Reference-Cited by-同舟云学术

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Efficient DANNLO classifier for multi-class imbalanced data on Hadoop

Published:2018-04-19 Issue:2 Volume:11 Page:321-329
ISSN:2511-2104
Container-title:International Journal of Information Technology
language:en
Short-container-title:Int. j. inf. tecnol.

Author:

Satyanarayana S.,Tayar Yerremsetty,Prasad R. Siva Ram

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://link.springer.com/article/10.1007/s41870-018-0187-z/fulltext.html

Reference26 articles.

1. Hu H, Wen Y, Chua T-S, Li X (2014) Toward scalable systems for big data analytics: a technology tutorial. IEEE Access 2:652–687

2. Wu X, Zhu X, Wu G-Q, Ding W (2014) Data mining with big data. IEEE Trans Knowl Data Eng 26(1):97–107

3. Triguero I, Peralta D, B J, García S, Herrera F (2015) MRPR: a MapReduce solution for prototype reduction in big data classification. Neurocomputing 150:331–345 (Elsevier)

4. Ou G, Murphey YL (2007) Multi-class pattern classification using neural networks. Pattern Recognit 40(1):4–18 (Elsevier)

5. Sebastiani F (2002) Machine learning in automated text categorization. ACM Comput Surv (CSUR) 34(1):1–47

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