Using mixed-effect random forest models to capture spatial patterns: a case study on urban crime.

Veröffentlichungen: Beitrag zu Konferenz › Paper › Peer Reviewed

Originalsprache	Englisch
Publikationsstatus	Veröffentlicht - 2019
Extern publiziert	Ja
Veranstaltung	15th Geocomputation 2019: Adventures in GeoComputation - Dauer: 18 Sept. 2020 → 21 Sept. 2020

Konferenz	15th Geocomputation 2019: Adventures in GeoComputation
Zeitraum	18/09/20 → 21/09/20

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

@conference{41810f3e85ba4eb3b1679450ce847616,

title = "Using mixed-effect random forest models to capture spatial patterns: a case study on urban crime.",

keywords = "machine learning, prediction, crime data",

author = "Raul Zurita-Milla and Afnindar Fakhrurrozi and Ourania Kounadi",

year = "2019",

language = "English",

note = "15th Geocomputation 2019: Adventures in GeoComputation ; Conference date: 18-09-2020 Through 21-09-2020",

}

TY - CONF

T1 - Using mixed-effect random forest models to capture spatial patterns: a case study on urban crime.

AU - Zurita-Milla, Raul

AU - Fakhrurrozi, Afnindar

AU - Kounadi, Ourania

PY - 2019

Y1 - 2019

KW - machine learning

KW - prediction

KW - crime data

M3 - Paper

T2 - 15th Geocomputation 2019: Adventures in GeoComputation

Y2 - 18 September 2020 through 21 September 2020

ER -