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Reading: Data Mining for the Social Sciences

by on November 6, 2015

Cover ImageData Mining for the Social Sciences: An introduction
Attewell, Paul and David B. Monaghan. Oakland, CA: University of California Press, 2015. 

Attewell and Monaghan offer a simple introduction to data mining and discuss how it differs from conventional statistical modeling. Part one focuses on the broader concepts of data mining including general strategies such as cross-validation, boosting and calibrating as well as outlining the important stages in a data mining project. Part two features examples on topics such as variable selection tools, extracting variables, classification trees, and clustering.

From → Data

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