Firth, A Framework for Analysis of Data Quality Research, IEEE Transactions on Knowledge and Data Engineering 7 (1995) 623-640 doi: 10.1109/69.404034). Real-world data, which is the input of the Data Mining algorithms, are affected by several components among them, the presence of noise is a key factor ( R.Y. This Website contains a short introduction to Noisy Data together with the more relevant bibliography and it also contains the complementary material to the SCI 2S research group papers on Noisy Data in Data Mining. Using the One-vs-One decomposition to improve the performance of class noise filters.Advantages of OVO scheme in the presence of noise.Quantifying the benefits of using MCS with noise.Noise filtering efficacy prediction by data complexity measures.INFFC: An iterative filter based on the fusion of classifiers with noise sensitivity control. SMOTE-IPF: Dealing with noisy data in imbalanced domains. Using noise filters to reduce noise's effects.Evaluating the classifier behavior with noisy data: metrics BRM, RLA and ELA.
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