Special Session on Interactive Data Analysis and Visualization at IEEE IJCNN 2012, Brisbane, Australia, 10-15 June 2012

Special Session on Interactive Data Analysis and Visualization, IEEE IJCNN 2012

By offering automated information extraction tools from data, machine learning has revolutionized the way in which humans can cope with electronic data volumes. The ever increasing complexity of the settings continues to pose challenges to the field: often, it is no longer possible to specify a priori a formal learning task; complex parameter choices can severely influence the outcome; and an appropriate encoding of data is not clear at all. More and more often, the human constitutes an important step in the loop to interactively decide about an appropriate learning model, model parameters, and data representation. Because of this fact, intuitive models and model parameters, and human understandable interfaces to the model and data are needed. In this frame, interesting new technologies have been developed such as high quality data visualization tools, sparse interpretable data representation and models, informed priors, active learning, and similar.

This special session aims to foster research in neural learning paradigms which offer an intuitive interface to data or models and thus have the potential as parts of an interactive pipeline. Topics of interest include, but are not limited to:

• Data visualization and dimensionality reduction
• Exploratory data analysis
• Visualization of machine learning models
• Compressed representation and sparse models
• Prototype based techniques
• Relevance learning
• Interpretability of model parameters
• Informed priors
• Active learning
• Semi-supervised learning
• Multicriteria evaluation measures
• Evaluation measures for unsupervised models
• User Studies
• Applications

Paper Submission

Submissions should follow the guidance given on the IEEE IJCNN 2012 conference website.
When submitting, please select:

1. Submission to IEEE-IJCNN 2012
2. Main research topic: Special Session on "Interactive Data Analysis and Visualization".

All submissions will be peer-reviewed with the same criteria used for other contributed papers. All accepted papers will be included and published in the conference proceedings.

Session Programme

Coming soon

Session Organizers

Barbara Hammer, Bielefeld University, Germany
Oliver Obst, CSIRO ICT Centre, Sydney, Australia
Yasufumi Takama, Tokyo Metropolitan University, Japan

Programme Committee

Michaël Aupetit, CEA LIST, Gif-sur-Yvette, France
Michael Biehl, University of Groningen, The Netherlands
Kerstin Bunte, Bielefeld University, Germany
Arto Klami, Aalto University, Helsinki, Finland
John Lee, Université Catholique de Louvain, Belgium
Laurens van der Maaten, University of Delft, The Netherlands
Mitsunori Matsushita, Kansai University, Japan
Mikhail Prokopenko, CSIRO ICT Centre, Sydney
Fabrice Rossi, University Paris I, France
Shigeaki Sakurai, Tokyo Institute of Technology, Japan
Peter Tiño, University of Birmingham, U.K.
Michel Verleysen, Université Catholique de Louvain, Belgium
Kok Wai Wong, Murdoch University, Australia

Task force

The session is organized in connection to the task force on Data Visualization and Data Analysis of the IEEE CIS Technical Committee on Data Mining