26 citations · 55 across the 5 of their papers we have counts for
6 papers
Fast Redescription Mining Using Locality-Sensitive Hashing
Maiju Karjalainen, Esther Galbrun, Pauli Miettinen
Redescription mining is a data analysis technique that has found applications in diverse fields. The most used redescription mining approaches involve two phases: finding matching…
Discovering Useful Compact Sets of Sequential Rules in a Long Sequence
Erwan Bourrand, Luis Galárraga, Esther Galbrun +2
We are interested in understanding the underlying generation process for long sequences of symbolic events. To do so, we propose COSSU, an algorithm to mine small and meaningful se…
The Minimum Description Length Principle for Pattern Mining: A Survey
Esther Galbrun
This is about the Minimum Description Length (MDL) principle applied to pattern mining. The length of this description is kept to the minimum. Mining patterns is a core task in dat…
Maximizing the Diversity of Exposure in a Social Network
Cigdem Aslay, Antonis Matakos, Esther Galbrun +1
Social-media platforms have created new ways for citizens to stay informed and participate in public debates. However, to enable a healthy environment for information sharing, soci…
Mining Periodic Patterns with a MDL Criterion
Esther Galbrun, Peggy Cellier, Nikolaj Tatti +2
The quantity of event logs available is increasing rapidly, be they produced by industrial processes, computing systems, or life tracking, for instance. It is thus important to des…
Finding low-tension communities
Esther Galbrun, Behzad Golshan, Aristides Gionis +1
Motivated by applications that arise in online social media and collaboration networks, there has been a lot of work on community-search and team-formation problems. In the former…