A machine learning-based analysis of 311 requests in the Miami-Dade County
Year of publication: |
2022
|
---|---|
Authors: | Cheng, Shaoming ; Ganapati, Sukumar ; Narasimhan, Giri ; Yusuf, Farzana Beente |
Published in: |
Growth and change : a journal of urban and regional policy. - Oxford : Wiley-Blackwell, ISSN 1468-2257, ZDB-ID 1482672-0. - Vol. 53.2022, 4, p. 1627-1645
|
Subject: | Miami-Dade (County) | Kommunale Dienstleistung | Local public services | Künstliche Intelligenz | Artificial intelligence | Algorithmus | Algorithm | Prognoseverfahren | Forecasting model | USA | United States | 2014-2018 |
-
Comparing out-of-sample performance of machine learning methods to forecast U.S. GDP growth
Chu, Ba, (2023)
-
Predicting U.S. bank failures and stress testing with machine learning algorithms
Hu, Wendi, (2025)
-
Can unbiased predictive AI amplify bias?
Khan, Tanvir Ahmed, (2023)
- More ...
-
A machine learning‐based analysis of 311 requests in the Miami‐Dade County
Cheng, Shaoming, (2021)
-
Cheng, Shaoming, (2011)
-
Location decision variations of Japanese investors in China
Cheng, Shaoming, (2008)
- More ...