Imbalanced Data Classification Using Weighted Voting Ensemble

Lin Lü; Michał Woźniak

doi:10.1007/978-3-030-31254-1_11

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Imbalanced Data Classification Using Weighted Voting Ensemble

Lin Lü Michał Woźniak

Year: 2019 Advances in intelligent systems and computing Pages: 82-91 Publisher: Springer Nature

DOI: 10.1007/978-3-030-31254-1_11

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Keywords:

Computer science Benchmark (surveying) Machine learning Voting Weighted voting Artificial intelligence Ensemble learning Field (mathematics) Kernel (algebra) Class (philosophy) Data mining Selection (genetic algorithm) Mathematics Geography

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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

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Imbalanced Data Classification Using Weighted Voting Ensemble

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