Interactive Comprehensible Data Mining

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Interactive Comprehensible Data Mining
This paper discusses a novel data mining system devised and developed at Birmingham, which attempts to provide a more effective data mining system. It ties in with the workshop goals in a number of different areas. The system tries to allow users to see the big picture and not get caught up in irrelevant detail too early; it uses perception-based approaches to data mining, and it uses interactive visualisation techniques to assist in this process. BIG QUESTIONS In data mining, or knowledge discovery, we are essentially faced with a mass of data that we are trying to make sense of. We are looking for something "interesting". Quite what "interesting" is is hard to define, however - one day it is the general trend that most of the data follows that we are intrigued by - the next it is why there are a few outliers to that trend. In order for a data mining to be generically useful to us, it must therefore have some way in which we can indicate what is interesting and wh...
Andy Pryke, Russell Beale
Added 01 Dec 2009
Updated 01 Dec 2009
Type Conference
Year 2004
Where CHI
Authors Andy Pryke, Russell Beale
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