The central objective in this symposium is to explore various fundamental issues of data mining and learning, spark new communications and collaborations between researchers and practitioners, and foster the study of data mining as a scientific field.

Both data mining researchers and practitioners are welcome to submit original and high quality papers on relevant topics in the field of data mining.

Publications

The accepted papers will be published in the proceedings of the 2012 IEEE International Conference on Granular Computing and indexed by EI.

This symposium will focus on, but not limited to, the following topics

* Mathematical foundations of Data Mining and Knowledge Discovery
* New Paradigms in Data Mining and Knowledge Discovery
* Logical aspects of Data Mining
* Theory of Learning and Discovery
* Theory of Intelligence
* Complexity in Data Mining and Discovery
* Uncertainty in Data Mining and Discovery
* Computing and Mining with Words
* Mining structured data
* Mining complex data
* Mining fuzzy data
* Mining big data
* Mining mobile data
* Data stream mining
* Data visualization
* Trend analysis and emergence detection