Identification of human behavior based on analysis of cellphone location data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F17%3A43911357" target="_blank" >RIV/62156489:43110/17:43911357 - isvavai.cz</a>

Result on the web

<a href="https://ece.pefka.mendelu.cz/sites/default/files/imce/ECE2017_fin.pdf" target="_blank" >https://ece.pefka.mendelu.cz/sites/default/files/imce/ECE2017_fin.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Identification of human behavior based on analysis of cellphone location data

Original language description

We live in a world full of ongoing data exchange between internet services and their users. Many users willingly provide information about themselves in exchange for obtained services. However, not all service providers know how to acquire spatial data about their customers or for what purpose they should use them. This paper presents a case study based on spatial data analysis. The spatial data are collected by a customer cellphone. The proposed algorithm uses solely series of user locations. The algorithm can create a timeline of user&apos;s whereabouts by identifying clusters of individual entries, which can be labeled as places visited by the user. Furthermore, we can successfully estimate the location of residence and the workplace of the user as presented on four different subjects with distinct behavioural patterns. Finally, the usage of various kinds of spatial data is discussed along with the possibility of deployment of similar algorithms for commercial purposes.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Enterprise and Competitive Environment: Conference Proceedings

ISBN

978-80-7509-499-5

ISSN

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e-ISSN

neuvedeno

Number of pages

10

Pages from-to

940-949

Publisher name

Mendelova univerzita v Brně

Place of publication

Brno

Event location

Brno

Event date

Mar 9, 2017

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000427306200097