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Comparing Apples and Oranges - Measuring Differences between Data Mining Results
Published on Nov 30, 20113278 Views
Deciding whether the results of two different mining algorithms provide significantly different information is an important open problem in exploratory data mining. Whether the goal is to select the m
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Chapter list
ComparingApplesand Oranges00:00
Questionof the day00:22
Why?00:47
More why02:38
However03:58
Toward smeasuring shared information - 104:42
Towards measuring shared information - 205:15
Towards measurin gshared information - 305:55
Towards measuring shared information - 406:05
A bit more formal06:30
and hence…07:50
The Big Question08:07
How it works for binary data - 108:37
How it works for binary data - 209:11
How it works for binary data - 309:49
How it works for binary data - 410:56
Background knowledge13:00
Our measure - 113:56
Our measure - 215:47
Experiments16:46
The big picture17:43
Redescribing results20:00
Conclusions - 121:15
Conclusions - 221:15
Thank you21:37