An Intelligent Government Complaint Prediction Approach

Author:

Chen SiqiORCID,Zhang Yanling,Song Bin,Du XiaojiangORCID,Guizani Mohsen

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shaanxi Province

State Key Laboratory of Integrated Services Networks

Publisher

Elsevier BV

Subject

Information Systems and Management,Computer Science Applications,Information Systems,Management Information Systems

Reference33 articles.

1. Achieving big data privacy via hybrid cloud;Huang,2014

2. Context-aware object detection for vehicular networks based on edge-cloud cooperation;Guo;IEEE Int. Things J.,2020

3. A deep similarity metric method based on incomplete data for traffic anomaly detection in IoT;Kang;Appl. Sci.,2019

4. Automating e-government services with artificial intelligence;Al-Mushayt;IEEE Access,2019

5. An integrated big and fast data analytics platform for smart urban transportation management;Fiore;IEEE Access,2019

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