Spatio-temporal clustering

Kisilevich, Slava; Mansmann, Florian; Nanni, Mirco; Rinzivillo, Salvatore

Spatio-temporal clustering

Dateien

Kisilevich_Spatio-temporal.pdfGröße: 8.35 MBDownloads: 3571

Datum

2009

Autor:innen

Kisilevich, Slava

Mansmann, Florian

Nanni, Mirco

Rinzivillo, Salvatore

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Beitrag zu einem Sammelband

Publikationsstatus

Published

Erschienen in

MAIMON, Oded, ed., Lior ROKACH, ed.. Data Mining and Knowledge Discovery Handbook. Boston, MA: Springer US, 2009, pp. 855-874. ISBN 978-0-387-09822-7. Available under: doi: 10.1007/978-0-387-09823-4_44

Zusammenfassung

Spatio-temporal clustering is a process of grouping objects based on their spatial and temporal similarity. It is relatively new subfield of data mining which gained high popularity especially in geographic information sciences due to the pervasiveness of all kinds of location-based or environmental devices that record position, time or/and environmental properties of an object or set of objects in real-time. As a consequence, different types and large amounts of spatio-temporal data became available that introduce new challenges to data analysis and require novel approaches to knowledge discovery. In this chapter we concentrate on the spatio-temporal clustering in geographic space. First, we provide a classification of different types of spatio-temporal data. Then, we focus on one type of spatio-temporal clustering - trajectory clustering, provide an overview of the state-of-the-art approaches and methods of spatio-temporal clustering and finally present several scenarios in different application domains such as movement, cellular networks and environmental studies.

Fachgebiet (DDC)

004 Informatik

Zitieren

ISO 690

KISILEVICH, Slava, Florian MANSMANN, Mirco NANNI, Salvatore RINZIVILLO, 2009. Spatio-temporal clustering. In: MAIMON, Oded, ed., Lior ROKACH, ed.. Data Mining and Knowledge Discovery Handbook. Boston, MA: Springer US, 2009, pp. 855-874. ISBN 978-0-387-09822-7. Available under: doi: 10.1007/978-0-387-09823-4_44

BibTex

@incollection{Kisilevich2009Spati-12710,
  year={2009},
  doi={10.1007/978-0-387-09823-4_44},
  title={Spatio-temporal clustering},
  isbn={978-0-387-09822-7},
  publisher={Springer US},
  address={Boston, MA},
  booktitle={Data Mining and Knowledge Discovery Handbook},
  pages={855--874},
  editor={Maimon, Oded and Rokach, Lior},
  author={Kisilevich, Slava and Mansmann, Florian and Nanni, Mirco and Rinzivillo, Salvatore}
}

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Universitätsbibliographie

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