Data Science: New Data, New Paradigms
From data to classes and classes as statistical units
Recherche - Formation: Université Paris-Dauphine
22-23 January 2018, Room A707 at 7th floor.
Registration free but obligatory (number of places is limited).
Participation gratuite à condition d’être inscrit car le nombre de places est limité.
Registration at: datascience22230118@gmail.com
A “Data Scientist” is someone who is able to extract knew knowledge from Standard, Big and Complex Data: unstructured data, unpaired samples, multi sources data (as mixture of numerical, textual, image, social networks data). The fusion of such data can be done into classes of row statistical units which are considered as new statistical units. Classes can be obtained by unsupervised learning which give a concise and structured view on the data or by supervised learning in order to produce efficient rules (deep learning). A third way is to consider classes as new statistical units by vectors of intervals, probability distributions, weighted sequences, functions, and the like, in order to express the within-class variability. One of the advantage of this approach is that unstructured data and unpaired samples at the level of row units, become structured and paired at the level of classes.
... more in French
Themes:
- Fundamental theory Classes and Symbolic Data
- Linear Models of symbolic data
- Clustering for distributional data
- Symbolic network
- Dimensional reduction
- Applications in socio-demography and ecology
Details:
- New book on SDA (in French): Filipe Afonso, Edwin Diday, Carole Toque: Data Science par Analyse des Données Symboliques.cover page, Ophrys
- SDA 2018 Symbolic Data Analysis Workshop; Polytechnic Institute of Viana do Castelo, Portugal, 18-20 October 2018
