Data Mining Books: Essential References for Beginners and Experts

Han, J., Kamber, M., & Pei, J. (2011). 'Data mining: concepts and techniques'. Elsevier.

Witten, I. H., Frank, E., & Hall, M. A. (2016). 'Data mining: practical machine learning tools and techniques'. Morgan Kaufmann.

Hastie, T., Tibshirani, R., & Friedman, J. (2009). 'The elements of statistical learning: data mining, inference, and prediction'. Springer.

Berry, M. J. A., & Linoff, G. (2011). 'Data mining techniques: for marketing, sales, and customer relationship management'. John Wiley & Sons.

Aggarwal, C. C. (2015). 'Data mining: the textbook'. Springer.

Larose, D. T. (2014). 'Discovering knowledge in data: an introduction to data mining'. John Wiley & Sons.

Hand, D. J., Mannila, H., & Smyth, P. (2001). 'Principles of data mining'. MIT press.

Tan, P. N., Steinbach, M., & Kumar, V. (2013). 'Introduction to data mining'. Pearson Education.

Zhang, J., & Zhang, C. (2010). 'Data mining: concepts, models, methods, and algorithms'. Wiley.

Rokach, L., & Maimon, O. Z. (2014). 'Data mining with decision trees: theory and applications'. World Scientific.