This week we had a midterm review and a lecture by Dr. Petitti. I have liked Dr. Petitti's lectures a lot because they seem very practical for helping students to understand journal articles. Dr. Petitti went over how experimental designs can sometimes be impractical for studies. Also that other study designs can have a lot of merit. An article on parachutes counteracting the dangers of gravity was an example of strong study evidence being present with out randomized trials. It seems that the people who published the article on parachuting were brave. Those people really took on researchers that challenged non randomized studies. They may have faced some tough criticism for stating their point the way that they did.
The midterm review helped me to go over several of the topics that we covered in the class. I appreciate that Dr. Kahol took time outside of our usual class time to have the review. I was impressed by how fast some people were doing the k-means similarity measures calculations in the class. Choosing a similarity measure to use is an interesting concept. Here is an article that I read some of and found interesting on some similarity measures for data mining with categorical data:
http://www.siam.org/proceedings/datamining/2008/dm08_22_Boriah.pdf
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Nate
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