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Håkan Sundell
Håkan Sundell
Information Technology University
Computer science
Data mining
Association rule learning
Artificial intelligence
Machine learning
6
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1
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0
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Evaluating Artificial Short Message Service Campaigns Through Rule Based Multi-instance Multi-label Classification.
2021
AAAI-MAKE | AAAI Spring Symposium Combining Machine Learning with Knowledge Engineering
Johannes Sahlin
Håkan Sundell
Håkan Alm
Jesper Holgersson
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Explorative multi-objective optimization of marketing campaigns for the fashion retail industry
2018
Håkan Sundell
T. Löfström
Ulf Johansson
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A data-driven approach to online fitting services
2018
Tuwe Löfström
Ulf Johansson
Jenny Balkow
Håkan Sundell
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Venn Predictors Using Lazy Learners
2018
ICDS | International Conference Data Science
Ulf Johansson
Tuwe Löfström
Håkan Sundell
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What happens when retail meets research? : Special session
2016
Anita Radon
Pia Johansson
Malin Sundström
Håkan Alm
Martin Behre
Hannes Göbel
Carina Hallqvist
Niina Hernández
Sara Hjelm Lidholm
Rikard König
Ulla Lindberg
Tuwe Löfström
Håkan Sundell
Stavroula Wallström
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Pragmatic Approach to Association Rule Learning in Real-World Scenarios
2015
ICCS | International Conference on Computational Science
Håkan Sundell
Rikard König
Ulf Johansson
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