Adaptive over-sampling method for classification with application to imbalanced datasets in aluminum electrolysis

Zhaoke Huang; Chunhua Yang; Xiaofang Chen; Keke Huang; Yongfang Xie

doi:10.1007/s00521-019-04208-7

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Adaptive over-sampling method for classification with application to imbalanced datasets in aluminum electrolysis

Zhaoke Huang Chunhua Yang Xiaofang Chen Keke Huang Yongfang Xie

Year: 2019 Journal: Neural Computing and Applications Vol: 32 (11)Pages: 7183-7199 Publisher: Springer Science+Business Media

DOI: 10.1007/s00521-019-04208-7

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Keywords:

Computer science Benchmark (surveying) Selection (genetic algorithm) Sampling (signal processing) Adaptive sampling Data mining Mathematical optimization Machine learning Artificial intelligence Algorithm Mathematics Statistics Monte Carlo method Filter (signal processing)

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Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Electricity Theft Detection Techniques

Physical Sciences → Engineering → Electrical and Electronic Engineering

Mineral Processing and Grinding

Physical Sciences → Engineering → Mechanical Engineering

Adaptive over-sampling method for classification with application to imbalanced datasets in aluminum electrolysis

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