Title: ITER: An algorithm for predictive regression rule extraction
Authors: Huysmans, Johan ×
Baesens, Bart
Vanthienen, Jan #
Issue Date: Sep-2006
Publisher: Springer
Series Title: Lecture Notes in Computer Science vol:4081 pages:270-279
Conference: International Conference on Data Warehousing and Knowledge Discovery (DAWAK) edition:8 location:Krakow (Poland) date:4-8 September 2006
Abstract: Various benchmarking studies have shown that artificial neural networks and support vector machines have a superior performance when compared to more traditional machine learning techniques. The main resistance against these newer techniques is based on their lack of interpretability: it is difficult for the human analyst to understand the motivation behind these models' decisions. Various rule extraction techniques have been proposed to overcome this opacity restriction. However, most of these extraction techniques are devised for classification and only few algorithms can deal with regression problems.
ISBN: 978-3-642-20510-1
ISSN: 0302-9743
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Research Center for Management Informatics (LIRIS), Leuven
× corresponding author
# (joint) last author

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