Here is the full list of best reference books on Statistical Techniques in Data Mining.
|1. “Classification of Regression Trees” by L. Breiman, J.H. Friedman, R.A. Olschen and C.J. Stone|
|2. “Principles of Data Mining” by D.J. Hand, H. Mannila and P. Smith|
|3. “Fundamentals of Artificial Neural Networks” by M.H. Hassoun|
|4. “The Elements of Statistical Learning: Data Mining, Inference and Prediction” by T. Hastie, R. Tibshirani and J. H. Friedman|
|5. ” Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions ” by Nuno M.M. Ramos and João M.P.Q. Delgado|
|6. ” Innovative Document Summarization Techniques: Revolutionizing Knowledge Understanding ” by Alessandro Fiori|
|7. ” Computer Based Numerical and Statistical Techniques ” by M. Goyal|
|8. ” Research Methods and Statistical Techniques ” by P. S. G. Kumar|
|9. ” A Textbook of Computer Based Numerical and Statistical Techniques ” by A.K. Jaiswal and Anju Khandelwal|
|10. ” Computer-Based Numerical and Statistical Techniques ” by P. K. De|
If any more book needs to be added to the list of best books on Statistical Techniques in Data Mining Subject, please let us know.
Sanfoundry Global Education & Learning Series – Best Reference Books!