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Jilles Vreeken

The goal of the Useful Patterns workshop (UP) is to address the problem of making the results of pattern mining useful. Pattern mining is an important aspect of data mining, concerned with finding local structure in the data. Traditionally, the focus of research in pattern mining has been on completeness - and the efficiency in achieving it. This focus, important as it is, has led our attention away from the most important aspect of the exercise: leading to useful results. How to make the results of pattern mining useful; that's exactly what we want to address in UP.



Workshop Goals

We expect the outcome of the workshop to be new insights with regard to useful pattern mining. UP provides a venue for results on presentation, visualisation and exploration of patterns by users. Moreover, by a great selection of regular papers and invited speakers, we bring together different approaches and views on the field of pattern mining. Great discussion is ensured.

We divide the scope of UP into three areas. Our first area of discussion is how to reduce the amount of returned patterns to useful amounts, whilst retaining the most important information. Our second area is to discuss how to present patterns to a user in a useful manner, e.g., allowing for visual exploration of the pattern set. Our third goal is to discuss how (small) sets of patterns can be used as surrogates for the original data. The main idea here is to challenge the belief that patterns are the end goal but instead use them as an intermediate result.

Invited Speakers

• Jiawei Han (University of Illinois at Urbana-Champaign)
  
• Geoff Webb (Monash University)
  

Talks by the recipients of the 2010 SIGKDD Doctoral Dissertation award and runner-up.

http://www.kdd.org/awards_dissertation.php