1. G. James, D. Witten, T. Hastie, and R. Tibshirani, An Introduction to Statistical Learning: With Application in R (Springer Science + Business Media, New York, 2013).
2. J. W. Osborne, Best Practices in Data Cleaning: A Complete Guide to Everything You Need to Do before and after Collecting Your Data, 1st ed. (SAGE Publ., Los Angeles, 2013).
3. T. de Waal, J. Pannekoek, and S. Scholtus, Handbook of Statistical Data Editing and Imputation (Wiley, Hoboken, NJ, 2011).
4. A. Farcomeni and L. Greco, Robust Methods for Data Reduction (Chapman and Hall/CRC, Boca Raton, 2015).
5. C. C. Aggarwal, Data Mining: The Textbook (Springer Int. Publ., 2015).