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.Â
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 |
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