On 29.11.2011 Ted Dunning wrote: > I find this taxonomy excessive and over-done. The distinctions I find > useful include > > - continuous variables > > - discrete variables with a known set of values (I call these categorical, > usually). This includes ordinal variables since ordering rarely makes a > lot of difference. > > - discrete variables with a large or not well known set of possible values > (I call these "word-like") > > - bags or lists of word-like variables (I call these text-like)
What I found useful for explaining which data types to expect:: http://www.cs.uni- potsdam.de/ml/teaching/ws10/ida/Datenselektion_und_Datenaufbereitung.pdf (Slide 6, unfortunately in German only) What seemed more needed was an explanation of different problem settings and how to tackle them on a very high level: http://www.cs.uni-potsdam.de/ml/teaching/ws10/ida/Problemanalyse.pdf Isabel
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