BigDataFr recommends: Measuring Social Well Being in The Big Data Era: Asking or Listening? The literature on well being measurement seems to suggest that « asking » for a self-evaluation is the only way to estimate a complete and reliable measure of well being. At the same time « not asking » is the only way to avoid biased […]

BigDataFr recommends: Large Interactive Visualization of Density Functions on Big Data Infrastructure Abstract Point set visualization is required in lots of visualization techniques. Scatter plots as well as geographic heat-maps are straightforward examples. Data analysts are now well trained to use such visualiza- tion techniques. The availability of larger and larger datasets raises the need […]

BigDataFr recommends: Machine learning: Cybersecurity dream-come-true or pipe dream? A Want to know which of your workers aren’t working much, which ones are planning to leave soon and/or might also be planning to steal some proprietary data on the way out the door? Machine learning can help you spot it much more quickly than your […]

BigDataFr recommends: Scalable and Accurate Online Feature Selection for Big Data Feature selection is important in many big data applications. There are at least two critical challenges. Firstly, in many applications, the dimensionality is extremely high, in millions, and keeps growing. Secondly, feature selection has to be highly scalable, preferably in an online manner such […]

BigDataFr recommande: Contributions à l’exploration de données environnementales, écologiques, médicales et archéologiques Abstract Mon activité de recherche s’articule autour de l’exploration de données. L’exploration de données nécessite de réelles collaborations pluridisciplinaires qui ne prennent sens qu’en s’inscrivant dans la durée. C’est seulement à cette condition que le statisticien peut, après s’être imprégné de l’autre discipline, […]