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Autor:
Haase, Jens; Brefeld, Ulf:

Titel:
Finding similar movements in positional data streams

Quelle:
In: ECML/PKDD (Hrsg.): Proceedings of the ECML/PKDD Workshop on Machine Learning and Data Mining for Sports Analytics (ECML/PKDD 2013) Prag : ECML/PKDD (2013) , 1-9

URL des Volltextes:
http://www.kma.informatik.tu-darmstadt.de/fileadmin/user_upload/Group_KMA/kma_publications/paper_01.pdf

Sprache:
Englisch

Dokumenttyp:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings

Schlagwörter:
Algorithmus, Computerspiel, Computerunterstütztes Verfahren, Daten, Datenanalyse, Evaluation, Informatik


Abstract(original):
In this paper, we study the problem of efficiently finding similar movements in positional data streams, given a query trajectory. Our approach is based on a translation-, rotation-, and scale-invariant representation of movements. Near- neighbours given a query trajectory are then efficiently computed using dynamic time warping and locality sensitive hashing. Empirically, we show the efficiency and accuracy of our approach on positional data streams recorded from a real soccer game.


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last modified Nov 11, 2016