Publish at December 06 2023 Updated December 06 2023
In addition to its origin, one of the most frequent parameters of a data collection is when the data was recorded; "December 6, 2023 at 16:26:33"; thus we accumulate data that can be represented in time.
When several sets of data linked to the same element are put together, patterns of behavior may emerge that would not otherwise appear. In the case of major anomalies, for example, data scientist Paul Boniol wondered whether there might be warning signs in time series data.
Whether in industrial or management applications, detecting anomalies before they turn into disasters is of considerable interest. And indeed, there are often precursory signs, "symptoms", small anomalies that end up resonating and multiplying in a cascade.
"The VALDA project-team has some fifteen members. They work on the fundamental aspects and systems of complex data management, particularly those produced by human activity."
Their work has led to applications and patents that make systems more reliable and enable corrective action to be taken in good time.
For the full article: Paul Boniol, the time series anomaly hunter
Domaine de Voluceau
Rocquencourt - B.P. 105
78153 Le Chesnay
France
Tél.: 33 (0)1 39 63 55 11
You might also like:
No need to say what you think, I'll know.
"The realization of this new way of understanding and visualizing cognition offers a major opportunity: that of being able to guess, from an image of the brain, the cerebral activity at play."
Tattoos against misinformation
When it comes to exceptional, extraordinary events, it becomes vital for professional photographers or researchers to be able to certify that an event or phenomenon really happened. Discreet technology makes it possible.
Counter information manipulation initiatives.
The challenge that INRIA and its ally VigiNum have set themselves over the next few years. To defeat the Hydra of disinformation and those who feed it.
Discovering the hidden functions of our phones' applications
It's hard for applications' graphical interfaces to reveal their full functionality, even less so on phones where menus are reduced to their simplest expression. INRIA is working to improve the situation.
Four pillars of artificial intelligence research for education
Jill-Jênn Vie, a research fellow in the Soda project-team at Inria's Saclay center, wonders how artificial intelligence will transform the learning experience. Far from having a definitive answer, he has identified four areas for analysis and research...
