ANCES: A novel method to repair attribute noise in classification problems
作者：
Highlights：
• The removal of samples is inadvisable dealing with data with attribute noise.
• Correcting attribute values with errors is the best approach in this scenario.
• This paper proposes a novel attribute noise correction method, called ANCES.
• ANCES performs an iterative correction of attribute values using error scores.
• ANCES outperforms other existing noise filtering techniques in the literature.
摘要
•The removal of samples is inadvisable dealing with data with attribute noise.•Correcting attribute values with errors is the best approach in this scenario.•This paper proposes a novel attribute noise correction method, called ANCES.•ANCES performs an iterative correction of attribute values using error scores.•ANCES outperforms other existing noise filtering techniques in the literature.
论文关键词：Attribute noise,Noise correction,Noise filtering,Noisy data,Classification
论文评审过程：Received 5 November 2020, Revised 8 June 2021, Accepted 20 July 2021, Available online 24 July 2021, Version of Record 4 August 2021.
论文官网地址：https://doi.org/10.1016/j.patcog.2021.108198
