12 citations · 46 across the 16 of their papers we have counts for
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Powered Hawkes-Dirichlet Process: Challenging Textual Clustering using a Flexible Temporal Prior
Gaël Poux-Médard, Julien Velcin, Sabine Loudcher
The textual content of a document and its publication date are intertwined. For example, the publication of a news article on a topic is influenced by previous publications on simi…
ArchaeoDAL: A Data Lake for Archaeological Data Management and Analytics
Pengfei Liu, Sabine Loudcher, Jérôme Darmont +1
With new emerging technologies, such as satellites and drones, archaeologists collect data over large areas. However, it becomes difficult to process such data in time. Archaeologi…
Powered Dirichlet Process for Controlling the Importance of "Rich-Get-Richer" Prior Assumptions in Bayesian Clustering
Gaël Poux-Médard, Julien Velcin, Sabine Loudcher
One of the most used priors in Bayesian clustering is the Dirichlet prior. It can be expressed as a Chinese Restaurant Process. This process allows nonparametric estimation of the…
Information Interaction Profile of Choice Adoption
Gaël Poux-Médard, Julien Velcin, Sabine Loudcher
Interactions between pieces of information (entities) play a substantial role in the way an individual acts on them: adoption of a product, the spread of news, strategy choice, etc…
Coining goldMEDAL: A New Contribution to Data Lake Generic Metadata Modeling
Etienne Scholly, Pegdwendé Sawadogo, Pengfei Liu +5
The rise of big data has revolutionized data exploitation practices and led to the emergence of new concepts. Among them, data lakes have emerged as large heterogeneous data reposi…