Top Selling Famous Recommended Books of data mining
In this post, we will see a list of some famous books on formal methods in software engineering and Computer Science.
| S.NO | Book Name | Author Name |
| 1 | IBM SPSS Modeler Essentials: Effective techniques for building powerful data mining and predictive analytics solutions | Jesus Salcedo and Keith McCormick |
| 2 |
R Data Mining: Implement data mining techniques through practical use cases and real world datasets |
Andrea Cirillo |
| 3 |
Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) |
Ian H. Witten and Eibe Frank |
| 4 |
Data Mining: The Textbook
|
Charu C. Aggarwal |
| 5 |
Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems) |
Jiawei Han and Micheline Kamber |
| 6 |
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking |
Foster Provost and Tom Fawcett |
| 7 |
Data Mining for Business Analytics: Concepts, Techniques, and Applications in R |
Galit Shmueli and Peter C. Bruce |
| 8 | Learning Social Media Analytics with R: Transform data from social media platforms into actionable business insights | Raghav Bali and Dipanjan Sarkar |
| 9 |
Machine Learning for the Web |
Andrea Isoni |
| 10 |
Data Mining: Practical Machine Learning Tools and Techniques (The Morgan Kaufmann Series in Data Management Systems) |
Ian H. Witten and Eibe Frank |
| 12 |
Big Data Analytics with R: Leverage R Programming to uncover hidden patterns in your Big Data |
Simon Walkowiak |
| 13 |
Pattern Recognition and Machine Learning (Information Science and Statistics) |
Christopher M. Bishop |
| 14 |
KUMAR: INTRO DATA MINING _c1 |
Pang-Ning Tan and Michael Steinbach |
| 15 |
Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies (The MIT Press) |
John D. Kelleher and Brian Mac Namee |
| 16 |
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) |
Gareth James and Daniela Witten |
| 17 |
Data Mining For Dummies |
Meta S. Brown |
| 19 |
Introduction to Data Mining (2nd Edition) (What’s New in Computer Science) |
Pang-Ning Tan and Michael Steinbach |
| 20 |
Learning Data Mining with Python |
Robert Layton |