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Open AccessArticle

Application of Differential Evolution Algorithm Based on Mixed Penalty Function Screening Criterion in Imbalanced Data Integration Classification

1
Ningxia Province Key Laboratory of Intelligent Information and Data Processing, North Minzu University, Yinchuan 750021, China
2
School of Cyber Engineering, Xidian University, Xi’an 710071, China
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Authors to whom correspondence should be addressed.
Mathematics 2019, 7(12), 1237; https://doi.org/10.3390/math7121237
Received: 20 November 2019 / Revised: 8 December 2019 / Accepted: 10 December 2019 / Published: 13 December 2019
(This article belongs to the Special Issue Evolutionary Computation & Swarm Intelligence)
There are some processing problems of imbalanced data such as imbalanced data sets being difficult to integrate efficiently. This paper proposes and constructs a mixed penalty function data integration screening criterion, and proposes Differential Evolution Integration Algorithm Based on Mixed Penalty Function Screening Criteria (DE-MPFSC algorithm). In addition, the theoretical validity and the convergence of the DE-MPFSC algorithm are analyzed and proven by establishing the Markov sequence and Markov evolution process model of the DE-MPFSC algorithm. In this paper, the entanglement degree and enanglement degree error are introduced to analyze the DE-MPFSC algorithm. Finally, the effectiveness and stability of the DE-MPFSC algorithm are verified by UCI machine learning datasets. The test results show that the DE-MPFSC algorithm can effectively improve the effectiveness and application of imbalanced data classification and integration, improve the internal classification of imbalanced data and improve the efficiency of data integration. View Full-Text
Keywords: imbalanced data; screening criteria; DE-MPFSC algorithm; Markov process; entanglement degree; data integration imbalanced data; screening criteria; DE-MPFSC algorithm; Markov process; entanglement degree; data integration
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Gao, Y.; Wang, K.; Gao, C.; Shen, Y.; Li, T. Application of Differential Evolution Algorithm Based on Mixed Penalty Function Screening Criterion in Imbalanced Data Integration Classification. Mathematics 2019, 7, 1237.

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