Title: Learning from multi-source data
Authors: Fromont, Elisa ×
Cordier, MO
Quiniou, R #
Issue Date: 2004
Publisher: Springer
Series Title: Lecture Notes in Computer Science vol:3202 pages:503-505
Conference: European Conference on Principles and Practice of Knowledge Discovery in Databases edition:8 location:Pisa, Italy date:September 20-24, 2004
Abstract: This paper proposes an efficient method to learn from multi source data with an Inductive Logic Programming method. The method is based on two steps. The first one consists in learning rules independently from each source. In the second step the learned rules are used to bias a new learning process from the aggregated data. We validate this method on cardiac data obtained from electrocardiograms or arterial blood pressure measures. Our method is compared to a single step learning on aggregated data.
ISSN: 0302-9743
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Informatics Section
× corresponding author
# (joint) last author

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