Among the years, I have read several interesting data mining books. For most of them, I have written a review on Data Mining Research. All the reviews are listed below:
- Analytics at Work
- Analytics in a Big Data World
- An Introduction to Statistical Learning
- An Introduction to Support Vector Machines and other kernel-based learning methods
- Applied Predictive Analytics
- Assessing and Improving Prediction and Classification
- Automate This
- Big Data, Data Mining and Machine Learning
- Business intelligence success factors
- Competing on Analytics
- Dance with Chance
- Data Mining for Managers
- Data Mining in Finance
- Data Mining Techniques in CRM
- Data Mining with Microsoft SQL Server 2008
- Data Mining with R
- Data Mining with Rattle and R
- Data Science for Business
- Data Smart
- Decision Management Systems
- Delivering Business Analytics
- Ensemble Methods
- Everydata
- Exploring Data with RapidMiner
- Fooled by Randomness
- Forecasting
- Future Ready
- Handbook of Statistical Analysis and Data Mining Applications
- How to lie with statistics
- Introduction to Data Mining
- Java Data Mining
- Machine Learning
- Mining the Web
- Naked Statistics
- PMML in Action
- Predictive Analytics
- Statistical Pattern Recognition
- Statistics: a very short introduction
- Statistics Done Wrong
- Super Crunchers
- Superforecasting
- The Business Forecasting Deal
- The Data Science Handbook
- The Little SAS Book
- The Master Algorithm
- The New Era of Enterprise Business Intelligence
- The Numerati
- The Signal and the Noise
- The Value of Business Analytics
- Thinking Statistically
- Thinking with Data
- Visualize This
You have written a data mining book and you want me to review it? Just send me an email.
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