Classification of Imbalanced Classes using the Committee of Neural Networks

被引：0

作者：

Doroshenko, Anastasiya ^{[1
]}

Tkachenko, Roman ^{[2
]}

机构：

[1] Lviv Polytech Natl Univ, ACS Dept, Lvov, Ukraine

[2] Lviv Polytech Natl Univ, Dept PIT, Lvov, Ukraine

来源：

2018 IEEE 13TH INTERNATIONAL SCIENTIFIC AND TECHNICAL CONFERENCE ON COMPUTER SCIENCES AND INFORMATION TECHNOLOGIES (CSIT), VOL 1 | 2018年

关键词：

a committee of neural networks; an ensemble of neural networks; a problem of imbalanced datasets; geometric transformations model; data mining; machine learning; data science; pattern recognition; cost-sensitive learning;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The objective of this paper is to develop method applicable to solve of classification tasks, with the aim to advance the classification of imbalanced data. The process of classification on the base of neural networks (Successive Geometric Transformations Model) is described. To increase the accuracy of classification in terms of imbalanced classes the neural network committee is created. The application of this approach in e-commerce is demonstrated.

引用

页码：400 / 403

页数：4

共 13 条

[1] [Anonymous], 2003, ICML-2003 Workshop on Learning from Imbalanced Data Sets II
[2] [Anonymous], 2000, An Introduction to support vector machines and other kernel-based learning methods
[3] Blot M, 2016, IEEE IMAGE PROC, P3678, DOI 10.1109/ICIP.2016.7533046
[4] Chawla NV, 2005, DATA MINING AND KNOWLEDGE DISCOVERY HANDBOOK, P853, DOI 10.1007/0-387-25465-X_40
[5] Domingos P., 1999, 5 ACM SIGKDD INT C K, P155, DOI DOI 10.1145/312129.312220
[6] Learning from Imbalanced Data
He, Haibo
Garcia, Edwardo A.
[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2009, 21 (09) : 1263 - 1284
[7] Hastie T., 2009, ELEMENTS STAT LEARNI, DOI DOI 10.1007/978-0-387-84858-7
[8] Oleg R, 2017, PROCEEDINGS OF THE 2017 12TH INTERNATIONAL SCIENTIFIC AND TECHNICAL CONFERENCE ON COMPUTER SCIENCES AND INFORMATION TECHNOLOGIES (CSIT 2017), VOL. 1, P232, DOI 10.1109/STC-CSIT.2017.8098776
[9] Perrone M.P., 1993, ARTIFICIAL NEURAL NE, P126
[10] Tkachenko Roman, 2019, Advances in Computer Science for Engineering and Education. Advances in Intelligent Systems and Computing (AISC 754), P112, DOI 10.1007/978-3-319-91008-6_12

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