At the IDA-2007 conference we propose an interesting agenda of events that include several tutorial tracks, open panel discussions, and keynote talks, all based on the following topics of interest:

Algorithms and Techniques (Machine Learning, Data Mining, Statistics) :

• Artificial neural networks - Bayesian networks - Heuristic methods
• Optimization problems - Case-based reasoning - Computational models of human learning
• Computational learning theory - Cooperative learning - Unsupervised learning
• Decision and induction
• Evolutionary computation
• Grammatical inference
• Incremental and on-line learning
• Information retrieval and learning
• Knowledge acquisition and learning
• Data pre- and post-processing
• Data visualisation
• Statistical pattern recognition and analysis
• Performance and optimization

Theoretical Contributions (Data Analysis Principles, KDD, Data Modeling) :

• Data Mining theories
• Information retrieval restrictions
• Legal data analysis restrictions
• Innovative data analysis (models, information types, and objectives)
• Theoretical IDA issues
• New paradigms

Application Fields (Practical, Applied and Industrial Data Analysis):

• Bio-informatics and bio-surveillance
• Web analysis
• Medical applications
• Industrial data analysis
• Commerce and finance information analysis
• Government, legal analysis (socio-economic data, legal issues)

This is the seventh Symposium on Intelligent Data Analysis after the successful symposia

       IDA-2005 (Madrid),
       IDA-2003 (Berlin),
       IDA-2001 (Lisboa),
       IDA-99 (Amsterdam),
       IDA-97 (London), and
       IDA-95 (Baden-Baden).

The IDA conference series intends to provide an international forum for the discussion of the innovative outstanding research results in the field of intelligent data analysis, becoming one of the most significant conferences on this topic world-wide. Contributions in this field deal with either theoretical or applied real-world problems making special effort in introducing novel data analysis techniques.