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Autor:
Haase, Jens; Brefeld, Ulf:

Titel:
Mining positional data streams

Quelle:
In: Appice, Annalise;Ceci, Michelangelo; Loglisci, Corrado;Manco, Guiseppe; Masciari, Elio; Ras, Zbigniew W. (Hrsg.): New frontiers in mining complex patterns Cham : Springer (2015) , 102-116

Serie:
Lecture notes in computer science, 8983

Sprache:
Englisch

Dokumenttyp:
4. Beiträge in Sammelwerken; Sammelband (keine besondere Kategorie)

Schlagwörter:
Algorithmus, Bewegung (Motorische), Data Mining, Daten


Abstract(original):
We study frequent pattern mining from positional data streams. Existing approaches require discretised data to identify atomic events and are not applicable in our continuous setting. We propose an efficient trajectory-based preprocessing to identify similar movements and a distributed pattern mining algorithm to identify frequent trajectories. We empirically evaluate all parts of the processing pipeline. (DIPF/Orig.)


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last modified Nov 11, 2016