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AIVDAC@IV 2013 : Second International Symposium On Advances in Interactive and Visual Data Clustering


When Jul 15, 2013 - Jul 18, 2013
Where London UK
Submission Deadline Mar 1, 2013
Final Version Due May 5, 2013
Categories    visualization   computer graphics   machine learning   data mining

Call For Papers

Second International Symposium On Advances in Interactive and Visual Data Clustering


**************17th International Conference Information Visualisation


************************15, 16, 17 and 18 July 2013

****************SOAS - University of London ● London ● UK ●

Important Dates:

1 March 2013 – Submission of papers & Submission of tutorials: (will be available shortly)
05 May 2013 – Submission of camera-ready & early registration closes


Aims and scope

Visual and interactive approaches have been developed for data clustering since several decades now with the aim of improving the discovery of clusters in unlabelled data. With the new challenges that result from the accumulation of large and distributed datasets, efficient visual data clustering requires the study and implementation of new and advanced methods. While the need for clustering is evident, few solutions exist today for Open and Big data. The aim of this symposium is to let researchers make a state of the art, discuss their ideas, present recent advances and results within the context of data clustering and visualizations or interactive methods.

The scope of the symposium will cover all aspects of visual and interactive data clustering. This includes many different issues like:

- How can the domain expert create clusters from an interactive visualization of large and/or distributed data ?

- How can standard clustering algorithms be combined and improved with visualizations and interactions ?

- What methods may efficiently reorganize a visual structure in order to let clusters appear ?

- What are the recent and successful applications of visual data clustering ?

Topics covered, but not limited to, include:

* Visualization of clusters: maps, dendrograms, trees, matrices, 1D/2D/3D/nD ...

* Clustering algorithm that produce visual results: Self-Organizing Maps, hierarchical agglomerative clustering, biomimetic algorithms, proximity graphs

* Cooperation between clustering and visualization algorithms

* Visualization and bi-clustering

* Reorganization of visualizations, rearrangement clustering, matrix or tree reordering

* Interactive discovery of clusters, other interactions with clusters in visualization

* Visual analytics and data clustering

* Handling large and complex data: Bioinformatics, Social networks, attributes-values, sequences, trees, graphs

* Parallel Visualization of Big and Open data (Cloud, CPU, GPU)

* Parallel implementation of visual clustering approaches

* User and case studies

Symposium Chair:

Hanane Azzag, University of Paris 13, France,
Barbara Hammer, Bielefeld University,
Mustapha Lebbah, University of Paris 13, France,

Submission procedures:
Further information:

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