Effects of Sampling Methods on Prediction Quality. The Case of Classifying Land Cover Using Decision Trees.

Ronald Hochreiter; Christoph Waldhauser

Effects of Sampling Methods on Prediction Quality. The Case of Classifying Land Cover Using Decision Trees.

Ronald Hochreiter
, Christoph Waldhauser

Vienna University of Economics and Business

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	Proceedings of COMPSTAT 2014 - 21st International Conference on Computational Statistics
Editors	Manfred Gilli, Gil Gonzalez-Rodriguez, Alicia Nieto-Reyes
Publisher	The International Statistical Institute/International Association for Statistical Computing
Pages	585-592
Number of pages	8
ISBN (Electronic)	9782839913478
Publication status	Published - 2014
Externally published	Yes
Event	21st International Conference on Computational Statistics, COMPSTAT 2014 - Geneva, Switzerland Duration: 19 Aug 2014 → 22 Aug 2014

Publication series

Name	Proceedings of COMPSTAT 2014 - 21st International Conference on Computational Statistics

Conference

Conference	21st International Conference on Computational Statistics, COMPSTAT 2014
Country/Territory	Switzerland
City	Geneva
Period	19/08/14 → 22/08/14

Keywords

Airborne Laser Scanning
Decision Tree
Machine Learning
Sampling

Cite this

Hochreiter, R., & Waldhauser, C. (2014). Effects of Sampling Methods on Prediction Quality. The Case of Classifying Land Cover Using Decision Trees. In M. Gilli, G. Gonzalez-Rodriguez, & A. Nieto-Reyes (Eds.), Proceedings of COMPSTAT 2014 - 21st International Conference on Computational Statistics (pp. 585-592). (Proceedings of COMPSTAT 2014 - 21st International Conference on Computational Statistics). The International Statistical Institute/International Association for Statistical Computing.

Hochreiter, Ronald ; Waldhauser, Christoph. / Effects of Sampling Methods on Prediction Quality. The Case of Classifying Land Cover Using Decision Trees. Proceedings of COMPSTAT 2014 - 21st International Conference on Computational Statistics. editor / Manfred Gilli ; Gil Gonzalez-Rodriguez ; Alicia Nieto-Reyes. The International Statistical Institute/International Association for Statistical Computing, 2014. pp. 585-592 (Proceedings of COMPSTAT 2014 - 21st International Conference on Computational Statistics).

@inproceedings{c2f3d49df7d343f1a9973978a3b752ab,

title = "Effects of Sampling Methods on Prediction Quality. The Case of Classifying Land Cover Using Decision Trees.",

keywords = "Airborne Laser Scanning, Decision Tree, Machine Learning, Sampling",

author = "Ronald Hochreiter and Christoph Waldhauser",

note = "Publisher Copyright: {\textcopyright} 2014 Proceedings of COMPSTAT 2014 - 21st International Conference on Computational Statistics. All rights reserved.; 21st International Conference on Computational Statistics, COMPSTAT 2014 ; Conference date: 19-08-2014 Through 22-08-2014",

year = "2014",

language = "English",

series = "Proceedings of COMPSTAT 2014 - 21st International Conference on Computational Statistics",

publisher = "The International Statistical Institute/International Association for Statistical Computing",

pages = "585--592",

editor = "Manfred Gilli and Gil Gonzalez-Rodriguez and Alicia Nieto-Reyes",

booktitle = "Proceedings of COMPSTAT 2014 - 21st International Conference on Computational Statistics",

}

Hochreiter, R & Waldhauser, C 2014, Effects of Sampling Methods on Prediction Quality. The Case of Classifying Land Cover Using Decision Trees. in M Gilli, G Gonzalez-Rodriguez & A Nieto-Reyes (eds), Proceedings of COMPSTAT 2014 - 21st International Conference on Computational Statistics. Proceedings of COMPSTAT 2014 - 21st International Conference on Computational Statistics, The International Statistical Institute/International Association for Statistical Computing, pp. 585-592, 21st International Conference on Computational Statistics, COMPSTAT 2014, Geneva, Switzerland, 19/08/14.

Effects of Sampling Methods on Prediction Quality. The Case of Classifying Land Cover Using Decision Trees. / Hochreiter, Ronald; Waldhauser, Christoph.
Proceedings of COMPSTAT 2014 - 21st International Conference on Computational Statistics. ed. / Manfred Gilli; Gil Gonzalez-Rodriguez; Alicia Nieto-Reyes. The International Statistical Institute/International Association for Statistical Computing, 2014. p. 585-592 (Proceedings of COMPSTAT 2014 - 21st International Conference on Computational Statistics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Effects of Sampling Methods on Prediction Quality. The Case of Classifying Land Cover Using Decision Trees.

AU - Hochreiter, Ronald

AU - Waldhauser, Christoph

PY - 2014

Y1 - 2014

KW - Airborne Laser Scanning

KW - Decision Tree

KW - Machine Learning

KW - Sampling

UR - https://www.scopus.com/pages/publications/85183584375

M3 - Conference contribution

AN - SCOPUS:85183584375

T3 - Proceedings of COMPSTAT 2014 - 21st International Conference on Computational Statistics

SP - 585

EP - 592

BT - Proceedings of COMPSTAT 2014 - 21st International Conference on Computational Statistics

A2 - Gilli, Manfred

A2 - Gonzalez-Rodriguez, Gil

A2 - Nieto-Reyes, Alicia

PB - The International Statistical Institute/International Association for Statistical Computing

T2 - 21st International Conference on Computational Statistics, COMPSTAT 2014

Y2 - 19 August 2014 through 22 August 2014

ER -

Hochreiter R, Waldhauser C. Effects of Sampling Methods on Prediction Quality. The Case of Classifying Land Cover Using Decision Trees. In Gilli M, Gonzalez-Rodriguez G, Nieto-Reyes A, editors, Proceedings of COMPSTAT 2014 - 21st International Conference on Computational Statistics. The International Statistical Institute/International Association for Statistical Computing. 2014. p. 585-592. (Proceedings of COMPSTAT 2014 - 21st International Conference on Computational Statistics).

Effects of Sampling Methods on Prediction Quality. The Case of Classifying Land Cover Using Decision Trees.

Publication series

Conference

Keywords

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