Ranked Tiling View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2014

AUTHORS

Thanh Le Van , Matthijs van Leeuwen , Siegfried Nijssen , Ana Carolina Fierro , Kathleen Marchal , Luc De Raedt

ABSTRACT

We introduce a scoring function for ranked tiling, as well as an algorithm using constraint programming and optimization principles. We empirically evaluate the approach on both synthetic and real-life datasets, and demonstrate the applicability of the framework in several case studies. One case study involves a heterogeneous dataset concerning the discovery of biomarkers for different subtypes of breast cancer patients. An analysis of the tiles by a domain expert shows that our approach can lead to the discovery of novel insights. More... »

PAGES

98-113

References to SciGraph publications

Book

TITLE

Machine Learning and Knowledge Discovery in Databases

ISBN

978-3-662-44850-2
978-3-662-44851-9

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-662-44851-9_7

DOI

http://dx.doi.org/10.1007/978-3-662-44851-9_7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1006525106


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