Mining positional data streams

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Authors

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.

Original languageEnglish
Title of host publicationNew Frontiers in Mining Complex Patterns
Number of pages15
PublisherSpringer Verlag
Publication date2015
Pages102-116
ISBN (print)978-3-319-17875-2
ISBN (electronic)978-3-319-17876-9
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event3rd International Workshop on New Frontiers in Mining Complex Patterns - NFMCP 2014 - Nancy, France
Duration: 19.09.201419.09.2014
Conference number: 3

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