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====== Habilitation à Diriger des Recherches ====== | ====== Habilitation à Diriger des Recherches ====== | ||
- | //In this Habilitation à Diriger des Recherches, I present the main results I have contributed to in the areas | + | //In this Habilitation à Diriger des Recherches, I present the main results I have contributed to in the areas |
- | {{: | + | ---- |
+ | **Materials: | ||
+ | * The report is available here: {{ : | ||
+ | * Slides: | ||
+ | < | ||
- | The report is available here: {{ : | ||
- | Slides : | ||
- | **This work will be defended the 14th December 2018 at 10am in Room C1, bâtiment Nautibus, Villeurbanne. | ||
- | Jury : | ||
+ | ===== Jury ===== | ||
- | {{ :hdr_main.pdf |}} | + | The members of the jury are: |
+ | |||
+ | * Toon Calders, Professor at University of Antwerp, reviewer, | ||
+ | * Florent Masseglia, Research Director at INRIA Sophia Antipolis - Méditerranée, | ||
+ | * Dino Pedreschi, Professor at University of Pisa, reviewer, | ||
+ | * Angela Bonifati, Professor at Université Claude Bernard Lyon 1, | ||
+ | * Bruno Crémilleux, | ||
+ | * Eric Gaussier, Professor at Université de Grenoble Alpes, | ||
+ | * Céline Robardet, Professor at INSA Lyon, | ||
+ | * Alexandre Termier, Professor at Université de Rennes 1. | ||
+ | |||
+ | ---- | ||
+ | ===== Abstract ===== | ||
+ | |||
+ | In this Habilitation | ||
+ | |||
+ | |||
+ | 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. | ||
+ | |||
+ | 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. | ||
+ | |||
+ | |||
+ | 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. | ||
+ | |||
+ | Finally, I conclude this thesis by discussing some research perspectives. | ||
< | < |