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LISTE DES PUBLICATIONS

1. **Jannaï Tokotoko**, Rodrigue Govan, Hugues Lemonnier, Nazha Selmaoui-Folcher: Multiscale and Multivariate Time Series Clustering: A New Approach. ISMIS 2022: 283-293

2. Nazha Selmaoui-Folcher, **Jannaï Tokotoko**, Samuel Gorohouna, Laisa Roi, Claire Leschi, Catherine Ris: Concept of Temporal Pretopology for the Analysis for Structural Changes: Application to Econometrics. Int. J. Data Warehous. Min. 18(2): 1-17 (2022)

3. **Jannaï Tokotoko**, Nazha Selmaoui-Folcher, Rodrigue Govan, Hugues Lemonnier: TSX-Means: An Optimal K Search Approach for Time Series Clustering. DEXA (2) 2021: 232-238

4. Nazha Selmaoui-Folcher, **Jannaï Tokotoko**, Samuel Gorohouna, Laisa Roi: Concept de prétopologie temporelle pour l'analyse des évolutions structurelles. EGC 2021: 119-131

5. **Jannaï Tokotoko**, Romane Scherrer, Hugues Lemonnier, Nazha Selmaoui-Folcher: *Analyse de la performance de filières aquacoles à partir de données spatio-temporelles*. Workshops 2020 Gestion et Analyse des données Spatiales et Temporelles à EGC, Bruxelles.

6. **Jannaï Tokotoko**, Frédéric Flouvat, Claire Goiran, Laetitia Hédouin, Antoine Collin, Nazha Selmaoui-Folcher: *Supervised Classification of Satellite Images with Spatially Inaccurate Training Field Data*. ICDM Workshops 2018, pp.1381-1388, Singapour.

7. **Jannaï Tokotoko**, Frédéric Flouvat, Claire Goiran, Laetitia Hédouin, Antoine Collin, Nazha Selmaoui-Folcher: *Prétraitement de données spatialement imprécises*
pour une classification supervisée basée sur les images satellitaires. Actes des 18ème Conférence Internationale francophone sur l'Extraction et Gestion des Connaissances (EGC'18), Hermann-Editions, RNTI, Vol. E-34, pp.167-1782018), Paris France. (article long).
Annexes
# Annexe A

## Distribution de la croissance initiale (C), de la vitesse de convergence et de la survie en fonction des pairs de clusters de températures hebdomadaires

<figure><img src="image_121.png" /><figcaption>**Fig. A.1** Distribution de la croissance initiale (C), de la vitesse de convergence et de la survie en fonction des pairs de clusters de températures hebdomadaires, avec des *p-valeurs* inférieurs à 0.05% avec la méthode Xmeans-TS.</figcaption></figure>
# Annexe B

## Distribution des paramètres de Gomprertz

<figure><img src="image_122.png" /><figcaption>**Fig. B.1** Distribution des paramètres de Gomprertz en fonction des pairs clusters de température journalière ayant les p-valeurs inférieure à 0.05 pour *Xmeans-TS*.</figcaption></figure>
# Annexe C

## Comparaison de clusters générés par X-meansTS et K-Shape

<figure><img src="image_123.png" /><figcaption>**Fig. C.1** Comparaison de clusters d'oxygène dissous générés par X-meansTS et K-Shape</figcaption></figure>
# Annexe D

## Description de Clusters multivariée multi-échelle avec des distribution des paramètres zootechniques significatives

<figure><img src="image_124.png" /><figcaption>**Fig. D.1 Clustering multivariée multi-échelle**</figcaption></figure>