Workshop on Semantic Aspects in Data Mining, Pisa, Italy
The objective of SADM is to introduce standardised methods which can explicitly consider data semantics, background knowledge or reasoning in the mining process.
This knowledge needs to be formalised in a knowledge repository, and has to be explicitly incorporated into the knowledge discovery and delivery (KDD) process, where the algorithms for data pre-processing, data mining or post-processing make use of this knowledge to improve the KDD process. The key idea is to develop a more general understanding about how to exploit data semantics and background knowledge, and to create standardised procedures for designing more intelligent data mining methods.For further information, please visit:
http://www-kdd.isti.cnr.it/SADM/index.html(opens in new window)