-
An Adaptive Incremental Clustering Method Based on the Growing Neural Gas Alg...
International audience -
An approach for online learning in the presence of concept changes
Learning from data streams is emerging as an important application area. When the environment changes, it is necessary to rely on on-line learning with the capability... -
Development of methods to analyze data streams
High dimensional data are supposed to be independent on-line observations of a random vector. In the second chapter, the latter is denoted by Z and sliced into two... -
Analysis and Data Mining of Moving Object Trajectories
In this thesis, we explore two problems related to managing and mining moving object trajectories. First, we study the problem of sampling trajectory data streams.... -
Anomaly detection in high-dimensional datastreams
The subject of this Thesis is to study anomaly detection in high-dimensional data streams with a specific application to aircraft engine Health Monitoring. In this... -
An Approximate L^p Difference Algorithm for Massive Data Streams
International audience
