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Contact: SDA2015
    +33238417204 (Office land phone)
    +33659031217 (Mobile phone)

    Deadline for registration: November 16
    Deadline for abstract submission: September 28
    Acceptance notification: October 5

The 5th Workshop on Symbolic Data Analysis, SDA2015, will be held in Orléans, France, in November 2015, from Tuesday 17 to Thursday 19, at the 'La Source' Orléans University Campus (which is served by Tram line A), in the IIIA Computer Science Building.

Tuesday November 17 Programme includes a Tutorial Session (09:00, IIIA), Registration/Lunch (12:00, L'Agora restaurant, Campus), Opening and Talks (13:55, IIIA), a Workshop Dinner (19:30).

SDA2015-satellite-meeting 'Data Science', will be held at Paris-Dauphine University from Nov. 12 to 13.

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.
A recent special issue of CSDA Journal, Vol. 9, No 1, March 2015, is devoted to SDA.

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.

SDA2015 Venue (.pdf)

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Programme Outline (.pdf)            Session Schedules (.pdf)            Booklet of Abstracts (.pdf)

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