iV2014 - 18^th International Conference Information Visualisation 15, 16, 17 and 18 July 2014 University of Paris Descartes ● Paris ● France ● http://www.graphicslink.co.uk/IV2014/ http://www.univ-paris5.fr
4^th International Symposium Advances in Interactive and Visual Data Clustering
	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 Submission procedures: www.graphicslink.co.uk/IV2014/PAPERS.htm Further information: www.graphicslink.co.uk/IV2014/
www.graphicslink.co.uk/IV2014/AIVDAC.htm
All enquiries concerning Advances in Interactive and Visual Data Clustering should be addressed to symposium chairs: Dr. Hanane Azzag, University of Paris 13, France hanane.azzag@lipn.univ-paris13.fr Prof. Barbara Hammer, Bielefeld University, bhammer@techfak.uni-bielefeld.de Dr. Mustapha Lebbah, University of Paris 13, France Mustapha.lebbah@lipn.univ-paris13.fr			All other enquiries and submissions should be addressed to: Conference Co-ordinator
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