SWIFT: A non-emergency response prediction system using sparse Gaussian Conditional Random Fields-Reference-Cited by-同舟云学术

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SWIFT: A non-emergency response prediction system using sparse Gaussian Conditional Random Fields

Published:2021-02 Issue: Volume:71 Page:101317
ISSN:1574-1192
Container-title:Pervasive and Mobile Computing
language:en
Short-container-title:Pervasive and Mobile Computing

Author:

Raj Raushan,Ramesh Arti,Seetharam Anand,DeFazio David

Publisher

Elsevier BV

Subject

Software,Computer Science Applications,Hardware and Architecture,Computer Networks and Communications,Information Systems

Reference32 articles.

1. Charis Elizabeth Idicheria, Alexander Schellong, Jobst Fiedler, Matthias Kammer, Marie-Therese Huppertz, Horst Westerfeld, A review of 311 in New York City.

2. NYC open data, https://nycopendata.socrata.com/Social-Services/311-Service-Requests-from-2010-to-Present/erm2-nwe9.

3. Sam Goodgame, David Harding, Romulo Manzano, NYC open data crunched & visualized, http://people.ischool.berkeley.edu/ samuel.goodgame/311/#daily.

4. Kansas City open data, https://data.kcmo.org/311/311-Call-Center-Service-Requests/7at3-sxhp/data.

5. Baltimore open data, https://data.baltimorecity.gov/City-Services/311-Customer-Service-Requests/9agw-sxsr/data.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Combining Block Bootstrap with Exponential Smoothing for Reinforcing Non-Emergency Urban Service Prediction;2023 IEEE International Conference on Big Data (BigData);2023-12-15

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