Books

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.