Advances in intelligent data analysis VI

One of the superb characteristics of Intelligent Data Analysis (IDA) is that it is an interdisciplinary ? eld in which researchers and practitioners from a number of areas are involved in a typical project. This also creates a challenge in which the success of a team depends on the participation of users and domain experts who need to interact with researchers and developers of any IDA system. All this is usually re? ected in successful projects and of course on the papers that were evaluated by this year’s program committee from which the ? nal program has been developed. In our call for papers, we solicited papers on (i) applications and tools, (ii) theory and general principles, and (iii) algorithms and techniques. We received a total of 184 papers, reviewing these was a major challenge. Each paper was assigned to three reviewers. In the end 46 papers were accepted, which are all included in the proceedings and presented at the conference. This year’s papers re? ect the results of applied and theoretical researchfrom a number of disciplines all of which are related to the ? eld of Intelligent Data Analysis. To have the best combination of theoretical and applied research and also provide the best focus, we have divided this year’s IDA program into tu- rials, invited talks, panel discussions and technical sessions.