CSIT Seminar: Prof. Tias Guns, Pattern mining using constraint programming

Speaker: Prof. Tias Guns
Vrije Universiteit Brussel
Title: Pattern mining using constraint programming
Date and Time: Fri 8 September 2017 11:30am–12:30pm
Location: 80.10.017 (RMIT City Campus)
Abstract: In todays data-rich world, pattern mining techniques allow us to extract knowledge from data. However, such knowledge can take many forms and often depends on the application at hand. This calls for generic techniques that can be used in a wide range of settings. Declarative constraint-based mining offers an answer to this question.
By building on constraint programming solvers, a generic method that fits many pattern mining settings is obtained. However, there is a trade-off between generality and efficiency. This talk will discuss multiple efforts to reduce the trade-off, both at the modeling level and at the solving level.
Bio: Tias Guns is Assistant Professor at the Vrije Universiteit Brussel (VUB), in the Business, Technology and Operations lab of the faculty of Economic and Social Sciences & Solvay Business School. His research lies on the border between data mining and constraint programming, and his main interest is in integrating domain expertise and user constraints into data analytics tasks. As part of his PhD, he has developed the CP4IM framework which showed for the first time the potential of using constraint programming for pattern mining. His PhD was awarded with both the constraint programming dissertation award and the ECCAI artificial intelligence dissertation award. He is an active member of the community and has organized a number of workshops and a special issue on the topic of combining constraint programming with machine learning and data mining.

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