Alex Seret

Alex’ research interests include the introduction of the self-organizing maps as powerful exploration tools in direct marketing, constrained clustering using business knowledge, multi-level clustering, neural networks and dynamic clustering. His research involves mainly partners from the ticketing and financial industries. With his partners, he is developing new algorithms and methodologies to help them monetising their data.

Publications Alex

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Alex obtained his PhD in 2015.
PhD Thesis
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Business-Driven Data Mining: New Algorithms and Applications