Class noise detection using classification filtering algorithms

• Main Authors: Nematzadehbalagatabi, Zahra, Ibrahim, Roliana, Selamat, Ali
• Format: Conference or Workshop Item
• Published: SPRINGER INTERNATIONAL PUBLISHING AG SWITZERLAND 2017
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/66472/; https://doi.org/10.1007/978-3-319-48517-1_11

One of the significant problems in classification is class noise which has numerous potential consequences such as reducing the overall accuracy and increasing the complexity of the induced model. Subsequently, finding and eliminating misclassified instances are known as important phases in machine...