Redescription Mining

ISBN-13: 9783319728889 / Angielski / Miękka / 2018 / 80 str.

Esther Galbrun; Pauli Miettinen

Opis

This book provides a gentle introduction to redescription mining, a versatile data mining tool that is useful to find distinct common characterizations of the same objects and, vice versa, to identify sets of objects that admit multiple shared descriptions.

O autorze

Esther Galbrun is a junior research scientist at Inria Nancy--Grand Est, France. She was previously a postdoctoral researcher at the CS department of Boston University, USA, after having obtained her PhD in 2014 from the CS department at the University of Helsinki, Finland, on the topic of redescription mining.

Pauli Miettinen is a senior researcher and head of the area Data Mining at the Max Planck Institute for Informatics, Germany. He is also an Adjunct Professor of computer science at the University of Helsinki, Finland, where he previously worked in Prof. Heikki Mannila’s group, and received his PhD in 2009. His main research interest is in Algorithmic Data Analysis. In particular, he has been working on matrix decompositions over non-standard algebras and their applications to data mining and on redescription mining.