Work

Mining location information from users' spatio-temporal data

Year: 2017

Type: conference-paper

Source: IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)

DOI: 10.1109/uic-atc.2017.8397519

Authors: Sage Jenson, Majerle Reeves, Marcello Tomasini, Ronaldo Menezes

Institutions: Oberlin College, California State University, Fresno, Florida Institute of Technology

Language: English

Topic: Human Mobility and Location-Based Analysis

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDG: Sustainable cities and communities

Open Access status: closed

OpenAlex ID: W2811365419

FWCI: 1.96

Cites: 45

Cited by: 5

Related to: 10