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preferencebasedpatternminingtutorial [2016/09/07 16:53]
mplantev [Content] 		preferencebasedpatternminingtutorial [2016/09/16 13:29]
mplantev [Material]
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   * **[[http://www.info.univ-tours.fr/~soulet/|Arnaud Soulet]]**, Université François Rabelais de Tours, France. He received his PhD in 2006 from the University of Caen. He is currently associate professor in computer science since 2007 at the University François Rabelais of Tours. He has an expertise in constraint-based pattern mining and involvement in the mining process like pattern mining techniques for preference elicitation.   * **[[http://www.info.univ-tours.fr/~soulet/|Arnaud Soulet]]**, Université François Rabelais de Tours, France. He received his PhD in 2006 from the University of Caen. He is currently associate professor in computer science since 2007 at the University François Rabelais of Tours. He has an expertise in constraint-based pattern mining and involvement in the mining process like pattern mining techniques for preference elicitation.
  
 +
 +===== Material =====
 +
 +
 +[[http://liris.cnrs.fr/~mplantev/Presentation/|{{:first_slide.png?nolink&300|}}]]
 ===== Tutorial Description ===== ===== Tutorial Description =====
  
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 user feedback to capture? How to elicit a preference model? How to instantly user feedback to capture? How to elicit a preference model? How to instantly
 mine patterns based on preferences? mine patterns based on preferences?
 +
 +==== Relevance ====
 +
 +Preferences are a way to put the user in the loop of the data mining process.
 +More generally, user-centered methods are crucial in the field of exploratory
 +data analysis (Information Retrieval, OnLine Analytical Processing, Knowledge
 +Discovery in Databases). They are based primarily on subjective knowledge of
 +the user which results in the form of preferences. Last years, part of the work in
 +pattern mining follows that direction. It seems important to present a tutorial
 +on the motivations, challenges and methods at the intersection of preferences
 +and pattern mining.
 +
 +
 +==== Target Audience ====
 +
 +The target audience of this tutorial is formed by researchers and practitioners
 +in both academia and industry interested in getting a high-level, comprehensive
 +overview of how high-quality patterns can be mined and employed by taking
 +into account the end-user’s preferences. Knowledge on constraint-based pattern
 +mining, preferences and constraints are not required, we will provide a quick
 +overview of these topics.
  
  
-==== Context and Goal ==== 
  
  
-==== Context and Goal ==== 
 =====  Outline ===== =====  Outline =====
 +
 +
 +<note warning>This is neither  a tutorial on constraint-based pattern mining nor on preference learning. </note>
preferencebasedpatternminingtutorial.txt · Last modified: 2016/09/16 13:32 by mplantev

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