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Extracting repeater knowledge from citizen report data.

Authors :
Kano, Eiji
Tsuda, Kazuhiko
Source :
Procedia Computer Science; 2020, Vol. 176, p2040-2049, 10p
Publication Year :
2020

Abstract

As citizen report systems are introduced in municipalities worldwide, research on extracting knowledge useful for resolving local issues from accumulated citizen report data is being actively promoted. However, to utilize this knowledge in practice, clarifying the characteristics of the participating reporters and the bias caused by them is necessary. This study focuses on repeat reporters who play an important role and extracts knowledge regarding their behavioral characteristics from citizen report data. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18770509
Volume :
176
Database :
Supplemental Index
Journal :
Procedia Computer Science
Publication Type :
Academic Journal
Accession number :
146249262
Full Text :
https://doi.org/10.1016/j.procs.2020.09.240