Dec 9, 2017 · A fully automated system which continuously monitors movement behaviour based on a stream of trajectory data, and detects behavioural changes, ...
Jan 8, 2018 · For this, a workflow is presented which integrates data preprocessing, completeness assessment, feature extraction and pattern mining, and ...
Continuous Trajectory Pattern Mining for Mobility Behaviour Change Detection. Mendeley · CSV · RIS · BibTeX ; Author. Jonietz, David · Bucher, Dominik ; Date.
Nov 28, 2017 · In this study, we propose a concept for a fully automated system which continuously monitors movement behaviour based on a stream of movement data.
Continuous trajectory pattern mining for mobility behaviour change detection. D Jonietz, D Bucher. Progress in Location Based Services 2018 14, 211-230, 2018.
Trajectory pattern mining allows characterizing movement behavior, which leverages new applications and services. Most existing approaches analyse the whole ...
In this paper, we introduce Colossal Trajectory Mining (CTM) to efficiently extract heterogeneous mobility patterns out of a multidimensional space.
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... Inhaltstext der DNB zu ISBN "3-319-71469-4". Continuous Trajectory Pattern Mining for Mobility Behaviour Change Detection Online verfügbar. Exportoptionen.
Continuous Trajectory Pattern Mining for Mobility Behaviour Change Detection. In Progress in Location Based Services 2018, pages 211–230. Springer ...
Trajectory data mining can be classified into several categories, including pattern mining, clustering, classification, and prediction [25]. Trajectory pattern ...