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preferencebasedpatternminingtutorial [2016/09/07 16:53] mplantev [Content] |
preferencebasedpatternminingtutorial [2016/09/16 13:32] (current) mplantev [Material] |
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* **[[http:// | * **[[http:// | ||
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+ | ===== Material ===== | ||
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+ | Click on the image to see the slides of the tutorial. | ||
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+ | [[http:// | ||
===== 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? | ||
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+ | ==== 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, | ||
+ | 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 ===== | ||
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+ | <note warning> |