Best Reference Books – Statistical Techniques in Data Mining

«
»
We have compiled a list of Best Reference Books on Statistical Techniques in Data Mining Subject. These books are used by students of top universities, institutes and colleges.

Here is the full list of best reference books on Statistical Techniques in Data Mining.

We have put a lot of effort into researching the best books for reference on this subject and came out with a recommended list of best books. The table below contains a review of these books and links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these books; the table serves as a ready reckoner list of these best books.

advertisement
1. “Classification of Regression Trees” by L Breiman and C J Stone
2. “Principles of Data Mining” by D J Hand 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 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

People who are searching for Free downloads of books and free pdf copies of these books – “Classification of Regression Trees” by L Breiman and C J Stone, “Principles of Data Mining” by D J Hand and P Smith, “Fundamentals of Artificial Neural Networks” by M H Hassoun, “The Elements of Statistical Learning: Data Mining, Inference and Prediction” by T Hastie and J H Friedman, “Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions” by Nuno M M Ramos and João M P Q Delgado, “Innovative Document Summarization Techniques: Revolutionizing Knowledge Understanding” by Alessandro Fiori, “Computer Based Numerical and Statistical Techniques” by M Goyal, “Research Methods and Statistical Techniques” by P S G Kumar, “A Textbook of Computer Based Numerical and Statistical Techniques” by A K Jaiswal and Anju Khandelwal, “Computer-Based Numerical and Statistical Techniques” by P K De – we would like to mention that we don’t have free downloadable pdf copies of these good books and one should look for free pdf copies from these Authors only if they have explicitly made it free to download and read them.

We have created a collection of best reference books on “Statistical Techniques in Data Mining” so that one can readily see the list of top books on “Statistical Techniques in Data Mining” and buy the books either online or offline.

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.

advertisement

Sanfoundry Global Education & Learning Series – Best Reference Books!

advertisement
advertisement
advertisement
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He is Linux Kernel Developer & SAN Architect and is passionate about competency developments in these areas. He lives in Bangalore and delivers focused training sessions to IT professionals in Linux Kernel, Linux Debugging, Linux Device Drivers, Linux Networking, Linux Storage, Advanced C Programming, SAN Storage Technologies, SCSI Internals & Storage Protocols such as iSCSI & Fiber Channel. Stay connected with him @ LinkedIn