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hdr [2018/11/28 09:02] mplantev [Habilitation à Diriger des Recherches] |
hdr [2018/12/15 21:54] mplantev [Habilitation à Diriger des Recherches] |
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**Materials: | **Materials: | ||
* The report is available here: {{ : | * The report is available here: {{ : | ||
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+ | ===== Abstract ===== | ||
+ | In this Habilitation | ||
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+ | Graphs are a powerful mathematical abstraction that enables to depict many real world phenomena. Vertices describe entities and edges identify relations between entities. Such graphs are often augmented with additional pieces of information. | ||
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+ | This manuscript is structured in two parts. In the first part, I discuss the different pattern domains for augmented graphs I contributed to define. | ||
+ | This includes the discovery of co-evolution patterns in dynamic attributed graphs, the study of links between the graph structure and the vertex attributes and the discovery of exceptional attributed subgraphs. | ||
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+ | In the second part, I discuss how to find pattern of higher interest by taking into account the domain knowledge, user feedback and user's prior knowledge through different contributions. | ||
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+ | Finally, I conclude this thesis by discussing some research perspectives. | ||