Photos Download: SDA2015_Photos.zip
Slides Download: SDA2015_Slides.zip
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Deadline for registration: November 16
Deadline for abstract submission: September 28
Acceptance notification: October 5
SDA. Roughly speaking, while Classical Data Analysis deals with raw statistical units described by real (resp. categorical) vectors, Symbolic Data Analysis (SDA) aims at extending Classical Data Analysis methods to the case of classes of raw units considered as new units whose description takes in account within-class-variability. Such descriptions can thus be sequences, intervals, random vectors, probability distributions, functions, and the like. Of course, SDA also works for objects having such descriptions but which need not be classes.
As the previous editions held in Vienna, Namur, Madrid and Taipei, respectively, SDA2015 will aim at being a forum where the symbolic community comes together to share research results and experiences.
SDA2015 sessions will have open discussions about recent achievements and open challenges in various fields, including: Variable Dependencies, Statistical Approaches, PCA, Clustering, Factor and Discriminant Analysis, Times Series, Networks, Visualization, Software tools.
SDA2015 opens the doors to future cooperation between participants: as an example, there will be a special session on Compositional Data.
Members from research teams and PhD students who recently became interested in the Symbolic Data Analysis domain are especially encouraged to participate and share their experiences with the rest of the community.