Adaptive kNN Using Expected Accuracy for Classification of Geo-Spatial Data

Mark Kibanov, Martin Becker, Jürgen Müller, Martin Atzmueller, Andreas Hotho, Gerd Stumme

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Original languageEnglish
Title of host publicationProceedings of the 33rd ACM Symposium On Applied Computing
Place of PublicationNew York, NY, USA
PublisherACM Press
Pages857-865
ISBN (Print)9781450351911
DOIs
Publication statusPublished - 2018
EventACM Symposium On Applied Computing - Pau, France
Duration: 9 Apr 201813 Apr 2018
Conference number: 33
https://www.sigapp.org/sac/sac2018/

Conference

ConferenceACM Symposium On Applied Computing
Abbreviated titleSAC 2018
CountryFrance
CityPau
Period9/04/1813/04/18
Internet address

Cite this

Kibanov, M., Becker, M., Müller, J., Atzmueller, M., Hotho, A., & Stumme, G. (2018). Adaptive kNN Using Expected Accuracy for Classification of Geo-Spatial Data. In Proceedings of the 33rd ACM Symposium On Applied Computing (pp. 857-865). New York, NY, USA: ACM Press. https://doi.org/10.1145/3167132.3167226
Kibanov, Mark ; Becker, Martin ; Müller, Jürgen ; Atzmueller, Martin ; Hotho, Andreas ; Stumme, Gerd. / Adaptive kNN Using Expected Accuracy for Classification of Geo-Spatial Data. Proceedings of the 33rd ACM Symposium On Applied Computing. New York, NY, USA : ACM Press, 2018. pp. 857-865
@inproceedings{5e58fb0a38464f63b2c778bd9328371a,
title = "Adaptive kNN Using Expected Accuracy for Classification of Geo-Spatial Data",
author = "Mark Kibanov and Martin Becker and J{\"u}rgen M{\"u}ller and Martin Atzmueller and Andreas Hotho and Gerd Stumme",
year = "2018",
doi = "10.1145/3167132.3167226",
language = "English",
isbn = "9781450351911",
pages = "857--865",
booktitle = "Proceedings of the 33rd ACM Symposium On Applied Computing",
publisher = "ACM Press",

}

Kibanov, M, Becker, M, Müller, J, Atzmueller, M, Hotho, A & Stumme, G 2018, Adaptive kNN Using Expected Accuracy for Classification of Geo-Spatial Data. in Proceedings of the 33rd ACM Symposium On Applied Computing. ACM Press, New York, NY, USA, pp. 857-865, ACM Symposium On Applied Computing, Pau, France, 9/04/18. https://doi.org/10.1145/3167132.3167226

Adaptive kNN Using Expected Accuracy for Classification of Geo-Spatial Data. / Kibanov, Mark; Becker, Martin; Müller, Jürgen; Atzmueller, Martin; Hotho, Andreas; Stumme, Gerd.

Proceedings of the 33rd ACM Symposium On Applied Computing. New York, NY, USA : ACM Press, 2018. p. 857-865.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

TY - GEN

T1 - Adaptive kNN Using Expected Accuracy for Classification of Geo-Spatial Data

AU - Kibanov, Mark

AU - Becker, Martin

AU - Müller, Jürgen

AU - Atzmueller, Martin

AU - Hotho, Andreas

AU - Stumme, Gerd

PY - 2018

Y1 - 2018

U2 - 10.1145/3167132.3167226

DO - 10.1145/3167132.3167226

M3 - Conference contribution

SN - 9781450351911

SP - 857

EP - 865

BT - Proceedings of the 33rd ACM Symposium On Applied Computing

PB - ACM Press

CY - New York, NY, USA

ER -

Kibanov M, Becker M, Müller J, Atzmueller M, Hotho A, Stumme G. Adaptive kNN Using Expected Accuracy for Classification of Geo-Spatial Data. In Proceedings of the 33rd ACM Symposium On Applied Computing. New York, NY, USA: ACM Press. 2018. p. 857-865 https://doi.org/10.1145/3167132.3167226