16 Best Data Mining Books of All Time
Our goal: Find the best Data Mining books according to the internet (not just one random person's opinion).
Our process:
- Search for "best data mining books" and study the top 5+ pages.
- Add only the books mentioned 2+ times.
- Rank the results neatly for you here! 😊
As an Amazon Associate, we earn from qualifying purchases (at no extra cost to you).
Introduction to Data Mining
by Pang-Ning Tan
Data Mining
Practical Machine Learning Tools and Techniques
by Ian H. Witten
Data Mining
The Textbook
by Charu C. Aggarwal
Data Mining Techniques
For Marketing, Sales, and Customer Relationship Management
by Gordon S. Linoff
Data Science for Business
What You Need to Know about Data Mining and Data-Analytic Thinking
by Foster Provost
The Elements of Statistical Learning
Data Mining, Inference, and Prediction
by Trevor Hastie
Also recommended by:
A Programmer's Guide to Data Mining
by Ron Zacharski
Data Mining with Rattle and R
The Art of Excavating Data for Knowledge Discovery
by Graham Williams
Mining of Massive Datasets
by Jure Leskovec
Mining the Social Web
Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More
by Matthew A. Russell
An Introduction to Statistical Learning
with Applications in R
by Daniela Witten
Bayesian Methods for Hackers
Probabilistic Programming and Bayesian Inference
by Cameron Davidson-Pilon
Big Data, Data Mining, and Machine Learning
Value Creation for Business Leaders and Practitioners
by Jared Dean
Data Mining
Concepts and Techniques
by Jiawei Han
Inductive Logic Programming
by Filip Železný
Modeling with Data
Tools and Techniques for Scientific Computing
by Ben Klemens
