(This article was first published on RDataMining, and kindly contributed to R-bloggers)
by Yanchang Zhao, RDataMining.com
It is a 270-page book on data mining with Excel. It can be downloaded as a PDF file at
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.83.1393&rep=rep1&type=pdf.
Below is its table of contents.
- Overview of the Data Mining Process
- Data Exploration and Dimension Reduction
- Evaluating Classification and Predictive Performance
- Multiple Linear Regression
- Three Simple Classification Methods
- Classification and Regression Trees
- Logistic Regression
- Neural Nets
- Discriminant Analysis
- Association Rules
- Cluster Analysis
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Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
