Enhanced confidence interpretations of GP based ensemble modeling results

Michael Affenzeller; Stephan Winkler; Stefan Forstenlechner; Gabriel Kronberger; Michael Kommenda; Stefan Wagner; Herbert Stekel

Enhanced confidence interpretations of GP based ensemble modeling results

Michael Affenzeller, Stephan Winkler, Stefan Forstenlechner, Gabriel Kronberger, Michael Kommenda, Stefan Wagner, Herbert Stekel

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag › Begutachtung

4 Zitate (Scopus)

Abstract

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.

Originalsprache	Englisch
Titel	24th European Modeling and Simulation Symposium, EMSS 2012
Seiten	340-345
Seitenumfang	6
Publikationsstatus	Veröffentlicht - 2012
Veranstaltung	24th European Modeling and Simulation Symposium, EMSS 2012 - Vienna, Österreich Dauer: 19 Sep. 2012 → 21 Sep. 2012

Publikationsreihe

Name	24th European Modeling and Simulation Symposium, EMSS 2012

Konferenz

Konferenz	24th European Modeling and Simulation Symposium, EMSS 2012
Land/Gebiet	Österreich
Ort	Vienna
Zeitraum	19.09.2012 → 21.09.2012

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@inproceedings{2e3cc6778a224db7b196aff362a8d76b,

title = "Enhanced confidence interpretations of GP based ensemble modeling results",

abstract = "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.",

keywords = "Data mining, Ensemble modeling, Genetic programming, Medical data analysis",

author = "Michael Affenzeller and Stephan Winkler and Stefan Forstenlechner and Gabriel Kronberger and Michael Kommenda and Stefan Wagner and Herbert Stekel",

year = "2012",

language = "English",

isbn = "9788897999096",

series = "24th European Modeling and Simulation Symposium, EMSS 2012",

pages = "340--345",

booktitle = "24th European Modeling and Simulation Symposium, EMSS 2012",

}

Affenzeller, M , Winkler, S, Forstenlechner, S, Kronberger, G, Kommenda, M, Wagner, S & Stekel, H 2012, Enhanced confidence interpretations of GP based ensemble modeling results. in 24th European Modeling and Simulation Symposium, EMSS 2012. 24th European Modeling and Simulation Symposium, EMSS 2012, S. 340-345, 24th European Modeling and Simulation Symposium, EMSS 2012, Vienna, Österreich, 19.09.2012.

Enhanced confidence interpretations of GP based ensemble modeling results. / Affenzeller, Michael ; Winkler, Stephan; Forstenlechner, Stefan et al.
24th European Modeling and Simulation Symposium, EMSS 2012. 2012. S. 340-345 (24th European Modeling and Simulation Symposium, EMSS 2012).

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag › Begutachtung

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

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 -

Enhanced confidence interpretations of GP based ensemble modeling results

Abstract

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Konferenz

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