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Published in 2021 at "EPJ Data Science"
DOI: 10.1140/epjds/s13688-021-00287-6
Abstract: We study the problem of modeling temporal networks constrained by the size of a concurrent set, a characteristic of temporal networks shown to be important in many application areas, e.g., in transportation, social, process, and…
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Keywords:
modeling temporal;
temporal networks;
competition driven;
driven modeling ... See more keywords
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Published in 2022 at "Neurocomputing"
DOI: 10.14428/esann/2021.es2021-121
Abstract: . Clustering is used in many applicative fields to summarize information into a small number of groups. Motivated by behavioral extraction issues from urban data, the interest of this paper is to propose a classification…
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Keywords:
common regressive;
modeling temporal;
temporal data;
clustering modeling ... See more keywords