An adaptive multiple classifier system based on differential evolution and its application in imbalanced data classification

Haixiang Guo, Mingyun Gu, Yijing Li, Yuanyue Huang, Wenjie Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)

Abstract

Imbalanced data exists widely in all domains of our daily life, such as disease diagnosis, mineral resource detection, etc. For the classification of imbalanced data, while ensemble classifiers gave a promising solution for classifying such skewed data, existing ensemble classifiers assume all kinds of imbalanced data share the same characteristics, and a universal solution was carefully designed. However, imbalanced data can be unequable based on its imbalanced ratio, the number of features of the number of examples available for training, so it’s difficult to get good results in all of the data set. In this paper, we propose an adaptive multiple classifier system based on differential evolution algorithm (DE-AMCS), system can choose optimal integration of learning model to complete the classification task. 10 datasets from KEEL are selected toverify the effciency of DE-AMCS, and 5 state-of-the-art imbalanced data classification algorithms are also tested for comparison. Experimental results show that the DE-AMCS is competitive or outperforms the state-of-the-art by using various evaluation metrics as indicators. Finally, DE-AMCS is applied to 5 wells of Jianghan Oil Field. For each well, the precision reaches 100%.

Original languageEnglish
Pages (from-to)1284-1299
Number of pages16
JournalXitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice
Volume38
Issue number5
DOIs
Publication statusPublished - 1 May 2018
Externally publishedYes

Keywords

  • Adaptive learning
  • Differential evolution
  • Ensemble learning
  • Imbalanced data
  • Oil reservoir

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modelling and Simulation
  • Economic Geology
  • Computer Science Applications

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