Intelligent Data Analysis is an important and promising topic that applies the information and statistical technology for the improvement of human decision making. This special session is to reflect the current research on the theory and applications of a variety of intelligent data analysis approaches, especially for the creation and advancement of data structures, algorithms, computational intelligence, and statistical techniques to solve formal and practical problems arising from the management and analysis of daily life.

Topics of interest include, but are not limited to:
1. Machine Learning
2. Data Mining and Discovery
3. Feature Selection
4. Rough Set
5. Fuzzy Data Analysis
6. Neural Network in Data Analysis
7. Evolutionary Computation in Data Analysis
8. Statistical Data Analysis
9. Granular Computing for Data Analysis
10. Applications of Data Analysis
11. Other New Approaches to Data Analysis and Applications

All contributions should be original and not published elsewhere or intended to be published during the review period. Interested authors may send the paper abstract before Feb 14 to both Prof. Tzung-Pei Hong (tphong@nuk.edu.tw) and Conference Secretary (jsai2013_ios@jsai.kaigi.org). After notification of accepted abstract, authors are invited to submit the full-length camera-ready paper by Apr 11.