TY - GEN
T1 - Enhanced confidence interpretations of GP based ensemble modeling results
AU - Affenzeller, Michael
AU - Winkler, Stephan
AU - Forstenlechner, Stefan
AU - Kronberger, Gabriel
AU - Kommenda, Michael
AU - Wagner, Stefan
AU - Stekel, Herbert
N1 - Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.
PY - 2012
Y1 - 2012
N2 - In this paper we describe the integration of ensemble modeling into genetic programming based classification and discuss concepts how to use genetic programming specific features for achieving new confidence indicators that estimate the trustworthiness of predictions. These new concepts are tested on a real world dataset from the field of medical diagnosis for cancer prediction where the trustworthiness of modeling results is of highest importance.
AB - In this paper we describe the integration of ensemble modeling into genetic programming based classification and discuss concepts how to use genetic programming specific features for achieving new confidence indicators that estimate the trustworthiness of predictions. These new concepts are tested on a real world dataset from the field of medical diagnosis for cancer prediction where the trustworthiness of modeling results is of highest importance.
KW - Data mining
KW - Ensemble modeling
KW - Genetic programming
KW - Medical data analysis
UR - http://www.scopus.com/inward/record.url?scp=84871532456&partnerID=8YFLogxK
M3 - Conference contribution
SN - 9788897999096
T3 - 24th European Modeling and Simulation Symposium, EMSS 2012
SP - 340
EP - 345
BT - 24th European Modeling and Simulation Symposium, EMSS 2012
T2 - 24th European Modeling and Simulation Symposium, EMSS 2012
Y2 - 19 September 2012 through 21 September 2012
ER -
