Semantic place recognition for context aware services

DSpace/Manakin Repository

Show simple item record

dc.contributor.author Ivannikova, Elena
dc.date.accessioned 2012-10-02T10:00:51Z
dc.date.available 2012-10-02T10:00:51Z
dc.date.issued 2012
dc.identifier.uri http://urn.fi/URN:NBN:fi:jyu-201210022558 en
dc.identifier.uri http://hdl.handle.net/123456789/38872
dc.description.abstract Extracting the meaning of the most significant places, which are frequently visited by a mobile user, is a relevant problem in mobile computing. Predicting semantic meaning of such places is useful in many areas. The problem of place semantic annotation of a user location can be challenging for service providers. Awareness of user activities is very important for development of personalized applications, which can be used in health care systems, living systems, etc. Predicting location of mobile users not only enables development of high quality location-based services and applications, but also improves resource reservation in wireless networks. In this research several solutions for semantic place prediction from mobile phone data are suggested and analyzed. Presented approaches have been tested on a real dataset collected during long period of time involving more than a hundred of participants.
dc.format.extent 66 s.
dc.language.iso eng
dc.rights This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited. en
dc.rights Julkaisu on tekijänoikeussäännösten alainen. Teosta voi lukea ja tulostaa henkilökohtaista käyttöä varten. Käyttö kaupallisiin tarkoituksiin on kielletty. fi
dc.subject.other semantic place prediction
dc.subject.other semantic location
dc.subject.other location-based services
dc.subject.other data mining
dc.subject.other classification
dc.subject.other mobile computing
dc.title Semantic place recognition for context aware services
dc.type Book en
dc.identifier.urn URN:NBN:fi:jyu-201210022558
dc.subject.ysa tiedonlouhinta
dc.subject.ysa paikkatiedot
dc.subject.ysa luokitus
dc.subject.ysa langaton tekniikka
dc.type.dcmitype Text en
dc.type.ontasot Pro gradu fi
dc.type.ontasot Master's thesis en
dc.contributor.tiedekunta Informaatioteknologian tiedekunta fi
dc.contributor.tiedekunta Faculty of Information Technology en
dc.contributor.laitos Tietojenkäsittelytieteiden laitos fi
dc.contributor.laitos Tietotekniikan laitos fi
dc.contributor.laitos Department of Computer Science and Information Systems en
dc.contributor.laitos Department of Mathematical Information Technology en
dc.contributor.yliopisto University of Jyväskylä en
dc.contributor.yliopisto Jyväskylän yliopisto fi
dc.contributor.oppiaine Mobile Technology and Business en
dc.contributor.oppiaine tietotekniikka fi
dc.date.updated 2012-10-02T10:00:51Z

This item appears in the following Collection(s)

Show simple item record