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Autor*innen: Haase, Jens; Brefeld, Ulf
Titel: Mining positional data streams
Aus: Appice, Annalise;Ceci, Michelangelo; Loglisci, Corrado;Manco, Guiseppe; Masciari, Elio; Ras, Zbigniew W. (Hrsg.): New frontiers in mining complex patterns: Third International Workshop, NFMCP 2014, held in conjunction with ECML-PKDD 2014, Nancy, France, September 19, 2014, Revised Selected Papers, Cham: Springer, 2015 (Lecture notes in computer science, 8983), S. 102-116
DOI: 10.1007/978-3-319-17876-9
Dokumenttyp: 4. Beiträge in Sammelwerken; Sammelband (keine besondere Kategorie)
Sprache: Englisch
Schlagwörter: Algorithmus; Bewegung <Motorische>; Data Mining; Daten
Abstract: 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.)
DIPF-Abteilung: Informationszentrum Bildung