IEEE Symposium on Intelligent Data Analysis and Applications (IEEE IDAA)
Intelligent data analysis could be defined as the tools that enable extracting information lying under very large amount of data, which have very large amount of variables, and represent very complex and non-linear. Particularly, recent developments in computing have provided the basic infrastructure for dealing with intelligent data analysis and many of the advanced computational methods for extracting information from large quantities of data are beginning to mature. These developments are intractable with the old tool, which have also created a new range of problems and challenges for the analysis, as well as new opportunities for intelligent systems in data analysis. In this case, one must be able to cope with high dimensionality, sparse data, very complex, unknown relationships, biased, wrong or incomplete data, or mathematics algorithms or methods that lie in the frontier of Mathematics, Engineering, Physics, Computer Science, Statistics, Biology, or even Philosophy.
On the other hand, there is a very point of view in engineering that solves common life problems with data analysis tools. Intelligent data analysis offers a data analysis based solution, and gives the opportunity to solve the problem. The applications of intelligent data analysis span all disciplines in engineering and natural science, such as computational intelligences, signal processing, and all associated applications.
This Symposium will bring together researchers from both engineering and academia from the various disciplines contributing to the area on intelligent data analysis and applications. Such disciplines include, but are not limited to:
- Machine Learning and Intelligent Control
- Pattern Recognition and Computational Intelligence
- Signal Analysis and Modeling and Visualization
- Multimedia Sensing and Sensory Systems
- Signal Control
- Imaging, Processing and Information System Security
- Cryptography and Cryptanalysis
- Databases and Data Mining
- Information Hiding and Cloud Computing
- Information Retrieval and Integration
- Robotics and Control